Automatic Control Technology Research Articles

Pelatihan Budidaya Hidroponik dan Optimalisasi Sistem Pemberian Nutrisi pada Kebun Hidroponik dengan Menggunakan Mikrokontroler di Pondok Pesantren Darul Fithrah

Darul Fithrah Islamic Boarding School (Ponpes DF) is a tahfiz Al-Qur'an-focused Islamic boarding school with education levels from kindergarten to high school. This Islamic boarding school has various active extracurriculars, one of which is hydroponic extracurriculars. This extracurricular is very useful for improving students' abilities. However, currently, there are still various shortcomings, one of which is related to the capability and application of technology in gardens. In order to fulfill this, training activities are carried out in this community service, and automatic nutrient control technology in hydroponics is applied. The training is aimed at students and hydroponic extracurricular administrators. This training activity focuses on explaining various methods and types of plants that can be cultivated using the hydroponic method, then training on the use of automatic nutrient control in hydroponic gardens. Based on the results of training and the application of automatic nutrient control technology, students and administrators can understand various types of hydroponic cultivation methods and then know how to plant various other types of plants that can be cultivated so that there can be a greater variety of plants that can be planted in the garden. Finally, based on the results of the application and training of automatic nutrient control technology, the students and administrators consider that the application of this technology is beneficial in the process of monitoring and maintaining plant quality.

Research on distributed automatic adjustment control technology of three-coordinate measuring support

Research on distributed automatic adjustment control technology of three-coordinate measuring support

Protocol Reverse Analysis of Ethernet for Control Automation Technology Based on Sequence Alignment and Pearson Correlation Coefficient.

This study presents a novel algorithm for protocol reverse analysis of EtherCAT. The algorithm combines sequence alignment and the Pearson correlation coefficient. We utilize value distribution statistics and the bit flip rate algorithm to effectively partition the protocol fields. We propose a semantics analysis method based on sequence alignment when HMI data and EtherCAT messages have a direct correlation. Conversely, for circumstances where there exists a decoding relationship between HMI data and EtherCAT messages, a semantic analysis method is proposed that employs the Pearson correlation coefficient. We completed a reverse analysis of the EtherCAT messages from an industrial robot system. By comparing the experiment results with the protocol description document, we validated the effectiveness of the method.

Preface

It is with great pleasure and a sense of accomplishment that we present the proceedings of the 2024 4th International Conference on Mechatronics, Automation and Intelligent Control (MAIC 2024). This conference builds upon the rich legacy of its predecessors, each of which has contributed significantly to advancing knowledge and fostering collaboration in mechatronics, automation, and intelligent control. The MAIC series has consistently attracted top researchers, scholars, and practitioners from around the globe, making it a prestigious and influential event in the mechanical engineering and automation domains. The 2024 edition is no exception, as it has gathered an impressive array of experts who have come together to share their latest findings, discuss emerging trends, and explore innovative solutions. MAIC 2024 is not only a focused display of the latest research results in mechatronics, automation, and intelligent control, but also an important platform to promote the development and application of relevant disciplines and domains globally. It attracts about 100 delegates from all over the world, including some international scholars, which reflects the internationalization and extensiveness of the fields of mechatronics, automation, and intelligent control. The event is packed with a diverse and engaging agenda, comprising keynote speeches, oral presentations, poster sessions, and academic discussions. During the conference, participants had in-depth discussions and exchanges on the latest progress and trends in mechanical engineering and automation domains. In the keynote speech session, a number of leading authorities working in related fields shared their research results and insightful perspectives, providing participants with valuable academic insights and set the tone for the conference. Professor Xuedao Shu (Ningbo University, China) explained the rolling forming technology and its advantages, and analyzed the technical characteristics of different rolling forming parts in detail; Professor Xingjian Wang (Beihang University, China) presented a fault diagnosis and performance degradation prediction of electro-hydraulic proportional servo valve; Professor Haiquan Zhao (Southwest Jiaotong University, China) proposed a novel adaptive active noise control system using an online genetic algorithm by recasting ANC as an optimization problem. During the oral presentations and poster sessions, participants gained more opportunities to demonstrate their research results and interacted directly with each other, which promoted the collision of academic ideas and deepened the cooperation and exchange. This collection of accepted papers covers a wide range of aspects such as machinery and machine design, advanced forming manufacturing and equipment, fault detection and diagnosis in mechatronics systems, automatic control technology, sensor and detection technology, etc., which fully demonstrates the latest research trends and practical achievements in the fields of mechanical engineering and automation. It not only captures the essence of the conference discussions and presentations, but also serves as a valuable resource for researchers, practitioners, and policymakers alike. The successful organization of MAIC 2024 not only promotes academic exchanges and technical progress in related fields, but also strengthens international cooperation and ties. And the international influence of the conference has been significantly enhanced, which has injected new vitality and impetus for the future development of mechanical engineering and automation areas. Finally, we extend our heartfelt gratitude to all the authors, reviewers, sponsors, organizers, and participants who made MAIC 2024 a truly remarkable event. Meanwhile, we also expect that the MAIC series of conferences will continue to play an important role in promoting international academic exchanges and technical cooperation, and contribute to the prosperity and development of mechatronics, automation, and intelligent control. Committee of MAIC 2024 List of Committee Member is available in this Pdf.

Rancang Bangun Kontrol Spreader Berbasis Android Menggunakan Arduino Mega 2560 di Kapal Floating

The shipping industry is closely related to economic growth in various countries. This transportation is very dependent on export and import activities. As the country's economy improves, especially in Asia, the maritime transportation business in Indonesia will also develop. The pattern of sending goods via sea transportation has changed, especially in terms of bulk transportation. which demands modern technology such as automation and intelligent control systems. This research aims to design and develop Android-based spreader control using Arduino Mega 2560 on a floating ship. This project is designed to increase efficiency and ease of operation in the loading and unloading process on ships, which previously still used manual control with a remote control or joystick which had limitations such as limited visibility. In this research, the spreader control system is connected to an Arduino Mega 2560 microcontroller via the HC-05 Bluetooth module, allowing the operator to control the spreader via an Android device. Test results show that data is obtained at a distance of 1 to 13 meters, the Android-based spreader control system shows a response time ranging from 1 to 9 seconds, which shows that the system is functioning properly. At a distance of 14 to 19 meters, the response time increases to 18 seconds, indicating quite good system performance. This shows that there is quite significant latency in data transmission. However, the system still managed to carry out spreader control well. At 20 meters, the system failed to respond to the spreader control. This shows that the effective range of this Bluetooth module is below 15 meters. This research makes a significant contribution to the development of automatic control technology in the shipping industry, especially in the use of intelligent control systems integrated with mobile devices.

Ultrasonic Enhancement for Mineral Flotation: Technology, Device, and Engineering Applications

In the past five years, the number of articles related to ultrasonic mineral flotation has increased by about 50 per year, and the overall trend is on the rise. The most recent developments in ultrasonics for flotation process intensification are reviewed herein, including effects of ultrasound treatment on an aqueous slurry, improvement in flotation methods and technological processes, device development tracking, and application effects in mineral process engineering. At this point in time, there are pilot-scale flotation tests to evaluate the feasibility of ultrasonic pretreatment technology for industrial use to enhance residue flotation separation, and the results showed that the recovery rate of concentrate is increased by about 10%. Four aspects of ultrasonic flotation process improvement are summarized, namely, changing the ultrasonic parameters, the synergistic effect of ultrasound and reagents, the ultrasonic effect of particles with different-sized fractions, and application to new systems. In addition, the effect of ultrasonic flotation mechanisms is explored through a quadratic model and numerical simulation. The combination of ultrasonic flotation with other fields, such as magnetic fields, to enhance the separation efficiency and recovery of minerals is also a future trend. It is also proposed that ultrasonic flotation technology will be used with big data, industrial Internet of Things, and automatic control technology to achieve deep bundling, optimizing the flotation process by implementing remote monitoring and control of the flotation process.

Research on Frequency Control Technology in Electrical Automation Control

With the continuous improvement of production efficiency, quality and flexibility, electrical automation control technology plays an increasingly important role in industrial production. As the core technology of electrical automation control, frequency conversion speed regulation is of great significance to improve production efficiency, reduce production costs, ensure stable operation of equipment and reduce energy consumption of electrical automation control system. Frequency conversion speed regulation refers to the frequency and voltage adjustment of motor power supply, so as to achieve accurate control of motor speed. The economy of this technology is mainly manifested in its ability to effectively reduce production costs, while its versatility is mainly manifested in its high degree of functional modularity and wide adaptability. Simply put, frequency conversion speed control technology is essential in the electrical automation control system. It reflects the scientific and technological progress of the enterprise, and also plays a decisive role in the enhancement of enterprise benefits. This paper provides a more comprehensive discussion on the application of frequency conversion speed control technology in electrical automation control for relevant personnel.

Simulation Test of an Intelligent Vibration System for Concrete under Reinforcing Steel Mesh

Concrete vibration construction sustains high labor intensity, a poor working environment, difficulties in quality control, and other problems. Current research on concrete vibration focuses on monitoring vibration quality, evaluating vibration processes quantitatively, and assessing mechanical vibration of unreinforced mesh concrete (plain concrete). Standardizing concrete vibration under reinforcing steel mesh remains difficult. There is still a lag in the evaluation of the quality of rework and the consumption of human and material resources. To tackle these issues, a vibrating robotic arm system based on automation control technology, machine vision, and kinematic modeling is proposed. Research and simulation tests on intelligent concrete vibration under reinforcing steel mesh aim to enhance construction efficiency and quality. A five-degree-of-freedom robotic arm with a vision module identifies each rebar grid center in the image, extracts the pixel coordinates, and converts them to the mechanical coordinates by the integration of machine vision algorithms. A vibrator point screening algorithm is introduced to determine actual vibrator point locations based on specific insertion spacing, alongside a vibro-module for vertical movement. Real-time assessment of vibration quality is achieved using the YOLOv5 target detection model. Simulation tests confirm the feasibility of automated concrete vibration control under reinforcing steel mesh by a vibrating robot arm system. This research offers a new approach for unmanned vibration technology in concrete under reinforcing steel mesh, supporting future related technological advancements with practical value.

Research on the influence and evaluation of manual operation performance of multifunctional operation panel considering interaction effect

AbstractManual operations remain crucial in critical human‐machine interactions due to limitations in automatic control algorithms and technologies. While ergonomic analysis and evaluation techniques for interactive interfaces are advancing, recent approaches emphasize integrating graphical interface experiences with intuitive controls. Conventional methods often lack precision or overlook the interaction effect of different influencing factors, leading to inadequate assessment of essential manual operations for intricate interfaces, such as multifunctional operation panels. To address these challenges, this study aimed to investigate the interaction effects of various factors on the manual operation performance of operators when using a multifunctional operation panel and aims to develop a more comprehensive and broadly applicable evaluation model for such panels. An experiment was designed to consider the type, size, layout of controls, and operational task type as the main factors affecting manual operation performance. Multivariate analysis of variance was used to identify significant interaction effects among the operation factors. The findings underscored the importance of these interactions in evaluating manual operation performance. Multivariate linear regression further examined the influence of these factors, enhancing the evaluation methodology. The study emphasizes the critical role of understanding interaction effects in assessing the manual operation performance of multifunctional operation panels, particularly in improving the design of the panel or operation tasks.

The technology of precise tapping of remaining oil during the high water cut stage of offshore multi-layer reservoirs driven by big data intelligence

Abstract Based on traditional numerical simulation and optimization algorithm, combined with the “hard data” monitored by stratified injection and production real-time monitoring and automatic control technology, a fine reservoir model integrated reservoir knowledge and development law was established, and the remaining oil potential exploitation during high water cut stage was quantified and evaluated by deep forest method to adjust well productivity, greatly improving the remaining oil potential exploitation effect. The innovation has formed a set of accurate remaining oil potential tapping technology based on big data intelligent drive in offshore multi-layer reservoirs with high water cuts. This technology fully adopts the automatic and intelligent characteristics of data-driven and deep forest algorithms, and the historical fitting rate of production dynamic during the high water cut stage is more than 90%, which can accurately guide the design and implementation of the remaining oil potential tapping scheme and provide a reference for similar oil fields.

Preface

The 2024 7th International Conference on Intelligent Manufacturing and Automation (IMA 2024) took place in Changsha, China during 12th to 14th January 2024 (virtual form). The conference in this series has been held for seven sessions, and with the successful experience, great reputation, and strong organization team, IMA 2024 was even more successful than ever before. The aims of the Conference were to provide a platform for the exploration of both fundamental topics and new applications of research fields of and related to intelligent manufacturing and automation, bring different scientific communities together, and facilitate the contacts among science, technology and industry. Everyone interested in these fields were welcomed to join the online conference and to give comments and raise questions to the speeches and presentations. About 130 participants attended the Conference whose agenda included keynote speeches, oral presentations and poster contributions. During the keynote speech part, Prof. Xiaogang Liu (Wuhan University of Technology, China), Assoc. Prof. Weimin Huang (Nanyang Technological University, Singapore), Prof. Jinping Liu (Hunan Normal University, China), and Prof. Chenglin Liu (Jiangnan University, China) shared their reports respectively on Intelligent Manufacturing Framework for Key Components of Automobile Chassis, Rapid Manufacturing Anywhere, Anytime, Toward Intelligent Monitoring of Operational Conditions of Complex Processes, and Fixed-Time Consensus Tracking of Multi-Manipulator Systems under Multiple Constraints. It is really a great opportunity to promote academic communication and collaboration worldwide. This volume gathers papers from regular contributions of IMA 2024; each contribution submitted for publication has been peer reviewed and the Editors are very grateful to the referees for their careful support in helping to improve the original manuscripts. The manuscripts accepted for publication cover different topics of intelligent manufacturing and automation: Rapid Manufacturing Technologies, Mold Design and Manufacturing, Intelligent Control Technology, Automated Production Equipment Application, Automatic Control and Information Technology, etc. We would like to thank all the keynote speakers and authors for their efforts in preparing their contributions to this leading international conference. Moreover, we are very grateful to all those, especially the program committee members and reviewers, who devoted time to the evaluation of the papers. It is a great honor to continue with the publication of the proceedings in the prestigious series Journal of Physics: Conference Series (JPCS) from IOP Publishing. Our particular thanks also go to JPCS series editors for once again supporting this Conference. The Committee of IMA 2024 List of Committee Member is available in this Pdf.

Application Strategies of Automatic Addressable Single-Lamp Control Technology in Tunnel Lighting

The article mainly studies the application strategy of automatic addressable single-lamp control technology in tunnel lighting. It encompasses an introduction to this technology, an analysis of the tunnel lighting system using automatic addressable single-lamp control technology, and outlines the main development direction for this technology in modern tunnel lighting. The aim is to offer insights that can inform the rational deployment of this technology, thereby enhancing the lighting control effectiveness in modern tunnels and meeting their specific lighting requirements more effectively.

Review of Recent Patents on Smart Bearing

Background: Smart bearing is based on the traditional bearing, which is integrated by sensing devices and control devices, formating a unique bearing structure unit. It uses information processing, automatic control, and other technologies to achieve real-time online monitoring of bearing operating conditions, fault detection, and state control. Compared with ordinary bearings, smart bearings have the characteristics of self-awareness, self-decision, and self-regulation. By analyzing the composition of various types of smart bearings and their working principles, it is beneficial to prospect the future development direction of bearings. Objective: We analyze and organize the patents on smart bearings in recent years, summarize the problems encountered in the development of smart bearings, and propose the development direction of smart bearings in the future to provide a reference for future scientific research. Methods: This paper reviews the patents related to smart bearings and analyzes the composition and structure of smart bearings. The main smart bearings include rolling bearing, sliding bearing, magnetic bearing, and rubber bearing. The principle and structure of these bearings are analyzed. Their advantages and shortcomings are discussed. Results: Through the analysis of relevant patents and papers on smart bearings, the current development status and problems of smart bearings are summarized, the future design of smart bearings is proposed, and the research ideas and directions are proposed. Conclusion: The development of smart bearings is conducive to the timely detection of bearing conditions in the operation process. Except for detection, smart bearings have the functions of judgment, feedback, processing, etc. There are many factors that interfere with the accuracy of the smart bearing judgment and information transfer, so it is necessary to improve the structure and working principle of smart bearings through a variety of measures. In the future, more smart bearings will be invented.

Density Based Traffic Signal Controller Using IoT

Every city in the world suffers from traffic congestion, which greatly disturbs the citizens. This problem is made worse by signal timing delays because modern traffic lights are not traffic condition-adaptive. An increasing number of people are in need of effective automatic traffic control technologies to address this. In this study, a density-based dynamic traffic signal control scheme is proposed. The system uses infrared sensors fixed on road poles and a Node MCU micro-controller to automatically modify signal timing according to traffic density at intersections. It is essential to go from fixed-time signaling to automated decision-making. Current fixed-timing systems become ineffective when imbalances in traffic flow arise. This study proposes a solution to a common urban problem by introducing an adaptive traffic light system to reduce congestion.

Highly stable Brillouin laser with controllable tuning based on fiber ring resonator

The design and fabrication processes of the stimulated Brillouin laser (SBL) are complex, and it is affected by many factors such as temperature and resonance shift. In this study, we have fabricated a Brillouin laser using a fiber ring resonator with Q factor = 7.1 × 108 and resonance depth (h) = 96%. The free spectral range automatic feedback control technology is proposed to realize the accurate matching of the resonant mode and the Stokes mode. The influence of temperature on the SBL frequency shift is suppressed. The fluctuation range of SBL’s frequency decreases by 5 times. The maximum steady state output of the SBL at the best matching position is realized, and the output power fluctuation range decreases by 15 times. The power stability of the SBL reaches 4.85 × 10−6, which is improved by two orders of magnitude. This simple scheme provides convenience for the application of the SBL, such as sensing and other applications.

ЭФФЕКТИВНОСТЬ АВТОМАТИЗИРОВАННОГО УПРАВЛЕНИЯ ТРАНСПОРТНЫМИ СРЕДСТВАМИ В ТРАМВАЙНЫХ СИСТЕМАХ

The intellectualization of water transport is accompanied by an expansion of the landscape of threats to transport security, caused by the characteristics and weaknesses of the technologies being introduced, which are the convergence of information and telecommunication technologies, automated and automatic control technologies and artificial intelligence. The peculiarity of these technologies is working with large volumes of information. Violation of the security of information processed in intelligent systems of water transport (illegal access, modification, deletion and similar unauthorized influence) causes a violation of transport security and, as a consequence, the security of critical information infrastructure and the country’s critical infrastructure, national security. Convergent technologies used in intelligent transport systems are characterized by multiple and poorly formalized manifestations of the consequences of threats. The article presents a model for assessing the risks of information security of intelligent water transport systems, based on the methods of the theory of fuzzy sets and fuzzy logic, the use of which makes it possible to take into account the above-mentioned features of the technologies being implemented. The hierarchical structure of the model and the use of fuzzy set theory and fuzzy logic methods make it possible to adapt the model to various risk criteria, types of input data and the level of detail of risk analysis. For the presented model, a methodology for assessing information security risks has been developed and an example of risk calculation is given. The developed model and methodology are intended to build an information security risk management system for autonomous shipping, implementing technologies of hybrid (augmented, extended) intelligence, providing for the use of artificial intelligence controlled by people.

НЕЧЕТКАЯ СИСТЕМА ОЦЕНКИ РИСКОВ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ ВОДНОГО ТРАНСПОРТА

The intellectualization of water transport is accompanied by an expansion of the landscape of threats to transport security, caused by the characteristics and weaknesses of the technologies being introduced, which are the convergence of information and telecommunication technologies, automated and automatic control technologies and artificial intelligence. The peculiarity of these technologies is working with large volumes of information. Violation of the security of information processed in intelligent systems of water transport (illegal access, modification, deletion and similar unauthorized influence) causes a violation of transport security and, as a consequence, the security of critical information infrastructure and the country’s critical infrastructure, national security. Convergent technologies used in intelligent transport systems are characterized by multiple and poorly formalized manifestations of the consequences of threats. The article presents a model for assessing the risks of information security of intelligent water transport systems, based on the methods of the theory of fuzzy sets and fuzzy logic, the use of which makes it possible to take into account the above-mentioned features of the technologies being implemented. The hierarchical structure of the model and the use of fuzzy set theory and fuzzy logic methods make it possible to adapt the model to various risk criteria, types of input data and the level of detail of risk analysis. For the presented model, a methodology for assessing information security risks has been developed and an example of risk calculation is given. The developed model and methodology are intended to build an information security risk management system for autonomous shipping, implementing technologies of hybrid (augmented, extended) intelligence, providing for the use of artificial intelligence controlled by people.

Preface

With great and successful prestigious history of ICETAC, 2023 4th International Conference on Electrical Technology and Automatic Control (ICETAC 2023) was held in Chongqing, China during 24th–26th, November 2023 via virtual form. It was sponsored by School of Electrical Engineering, Chongqing University and organized by National Key Laboratory of Power Transmission and Transformation Equipment Technology.ICETAC 2023 is a great academic platform and is of great significance for disseminating cutting-edge information in disciplines and industry, promoting the transformation of scientific and technological achievements, and condensing academic achievements in the industry at this event.The Conference consisted of three plenary keynote speeches (addressed by Associate Professor Vandana Sharma from CHRIST University, India, Professor Xiaofang Yuan from Hunan University, China, and Associate Professor Qiushi Cui from Chongqing University, China, respectively), several oral and poster presentations, in which a wide range of topics were covered and the most recent significant results were presented. They discussed such topics as Unlocking the Potentials of AI in the domain of Automatic Control, Collaborative Operation Optimization of Processing Equipment and AGVs for Green Discrete Manufacturing, New Power System Modeling, Simulation and Testing Technology, etc. Besides, the attending scholars and experts exchanged deeply on the latest research achievements and advanced experience in the industry development and shared their unique insights into development trends and research directions of the industry.Some selected works presented at the Conference are published in this conference proceedings edition of Journal of Physics: Conference Series., which shows readers the latest research results and application cases of electrical and automatic control technology. We firmly believe that by reading these papers, readers will deepen their understanding of these fields and appreciate their enormous significance and potential impact on contemporary society.We wish to acknowledge all the participants, and the support of our sponsors. We would also like to take this opportunity to thank the members of Technical Program Committee and Organizing Committee, as well as the expert reviewers. What’s more, we hope that the conference series ICETAC shall continue to the next many sessions and deliver its purpose as the arena for presenting and exchanging the ideas of research in the fields of electrical and automatic control technology and anything related.The Committee of ICETAC 2023List of Committee Member is available in this pdf.

Preface

This Proceedings arises from 2023 6th International Conference on Power Electronics and Control Engineering (ICPECE 2023), which was held via virtual form in Nanning, China from November 10th to 12th, 2023. Meetings in the ICPECE series were and will be held every year, and ICPECE 2023 marks the sixth time that this series of conference had been held successfully.The scientific and social program for the Conference ran over three days with more than 50 delegates from about 10 countries gathering on November 10th and departing on November 12th, including keynote speeches, oral presentations, poster presentations, free discussion, academic investigation, etc.In all there were four keynote speeches by renowned professors during the meeting. Professor Xingjian Wang from Beihang University, China addressed his research to us on Health Status Assessment and Fault-tolerance Control for Aircraft Control System. According to the control command of the pilot or the autopilot, the aircraft control system drives the aircraft rudder through the servo actuator to realize the aircraft attitude and flight trajectory control. In order to realize the highly reliable and healthy service of the aircraft control system, the health status assessment and remaining useful life prediction of the key components of the aircraft control system, the key technology of fault diagnosis for the airborne hydraulic system, and the high safety hierarchical active fault-tolerance control strategy were carried out to effectively improve the healthy service capability of the aircraft control system.Topics that were the focus of invited presentations and contributed papers at ICPECE 2023 included: Motor Drive and Frequency Converter, Drive Motor and Control Technology, Power and Fluid Machinery Equipment, Automatic Control Technology, Computer Integrated Manufacturing System, etc. All submissions were gone through a rigorous review process by performing double blind review to check their quality of content, level of innovation, significance, originality and legibility.The Conference could not have occurred without the generous support of the sponsors and the hard work of all Committee members. We are most grateful for the staff of Journal of Physics: Conference Series for their help and kindness in the preparation of this volume. Finally, we would like to thank all the attendees at ICPECE 2023 for their scientific contributions to the Conference, and for their warm spirit of engagement which characterized the scientific discussions and social occasions.The Committee of ICPECE 2023List of Committee Member is available in this pdf.

Research on automatic control and servo control technology of industrial robots for high-precision assembly requirements

Abstract Industrial robots find widespread application in machining, part assembly, and welding processes. This paper focuses on the precise control of industrial robots, using the permanent magnet synchronous motor (PMSM) as the driving device of the manipulator. By constructing a mathematical model of the PMSM and implementing a vector control strategy, we design an adaptive control algorithm based on the feature model. We also introduce the golden section adaptive control and the position outer-loop control, which are based on the nonlinear proportional regulator. This approach enables the creation of industrial robots that utilize high-precision servo control technology. After analyzing the response speed and positional accuracy of the servo control technology through testing experiments, we integrated this technology into the design of the automatic control system for industrial robots and conducted simulation tests to explore its performance in various applications. The results demonstrate the superior speed response speed and position control accuracy of the servo control technology; the response times for speed and position are approximately 0.2 seconds and 1 second, respectively, with a maximum deviation of 31.75 rpm when the speed remains constant. The industrial robot control system’s structural displacement and tool switching time are both within 2.88 mm and 0.65 s, and it has a large torque. The study confirms that servo control technology and automatic control of industrial robots have superior performance.