Electromechanical Control System Research Articles

Retracted: Design and Application of Electromechanical Control System Based on Computer Fault Tolerance Technology

Retracted: Design and Application of Electromechanical Control System Based on Computer Fault Tolerance Technology

Local gravity control method for solving load-mismatch issue in isolators

Quasi-zero stiffness (QZS) shows significant advantages in low frequency vibration isolation. However, the isolation performance is heavily dependent on the rated load and prone to load-mismatch. Here, a general local gravity control method (LGCM) is proposed to eliminate these limitations by introducing an expected constant force to adjust the equivalent gravity of the mismatched load. As a result, the isolators can be maintained at an ideal static equilibrium point with low dynamic stiffness. The load-mismatch was investigated and emphasized combined with the spring-link mechanism (SLM). The analysis indicated that the load-mismatch results in stiffness hardening, natural frequency increasing, and vibration isolation band shortening. The principle of the LGCM was fully revealed in the respect of conceptual design, electromechanical coupling analysis, control system and operation mechanism. The harmonic balance method (HBM) was used to model the response of the periodic and sweep excitation. The electromechanical coupling simulation was implemented to theoretically verify adjustment ability of LGCM. A prototype based on SLM and Arduino UNO was fabricated and tested with proportional-integral-derivative (PID) to validate the effectiveness of the LGCM. The results illustrates that the vibration transmissibility in mismatched isolator at resonance frequency is decreased by 50 % with LGCM, which means that the resonance frequency can be decreased efficiently, and the isolation band is significantly broadened. The LGCM can be easily attached to any QZS systems, which can be regarded as a general patch for the bug of load-mismatch and is conducive to broaden the load-variable applications of QZS isolators.

Retracted: A Global Optimization Algorithm for Intelligent Electromechanical Control System with Improved Filling Function

Retracted: A Global Optimization Algorithm for Intelligent Electromechanical Control System with Improved Filling Function

Roadheader horizontal swing movement based on VP technology and SVR algorithm

In tunnel construction, over-excavation and under-excavation by the roadheader often occur, which can lead to rough excavation cross-sections that require subsequent treatment resulting in additional time and cost. With a view to improving the quality of excavated tunnels, increasing the speed of the roadheader in tunneling applications, and accurately controlling the excavation process, a virtual prototype (VP) of the roadheader is built using Pro/Engineer, ADAMS, ANSYS, and EASY5. A mechanical model of the system is established and relationships between hydraulic piston expansion length, speed, and boom swing angle are determined. Then, a support vector regression (SVR) internal model controller is introduced into the roadheader swing system. An electromechanical fluid coupling automatic control system model is also established. Combining VP technology with the SVR algorithm, an internal model and inverse model of the roadheader horizontal swing system are obtained. Multi-domain co-simulations are performed. When the SVR internal model controller is incorporated, the gyration platform is more reliable, and the target position can be quickly tracked by the system. The cutting test bench of roadheader was built, and the cutting experiments were carried out by using SVR and PID control methods. Although the PID control system has a faster response, it is only 1.61 s faster than SVR, and the PID control method has a much higher over-excavation amount than SVR control method, and the maximum over-excavation amount is 3.22 times of SVR controller. Therefore, the SVR controller has better control over the over-excavation phenomenon and higher control accuracy. So the proposed method can be used to effectively solve the over-excavation and under-excavation problem.

Realization of optimization design of electromechanical integration PLC program system based on 3D model

Abstract A three-dimensional simulation model of the electromechanical control system was built using the fuzzy control proportional–integral–derivative (PID) adjustment algorithm after an automatic electromechanical control system based on programmable logic controller (PLC) technology was optimized to achieve the practical use of electromechanical program control. First, the hardware of the electromechanical control system is discussed and designed. The findings demonstrate the viability of the mechanical and electrical integration PLC program optimization solution based on three-dimensional (3D) model. The system has a higher control and management efficiency, which is 30% greater than that of the conventional system. The mechatronic manufacturing system’s continuous operation efficiency enhancement can significantly lower the investment costs and boost the financial gains of industrial organizations. Traditional systems have a control and management efficiency of around 30%, but automatic electromechanical control systems based on PLC technology and created using 3D models have a control and management efficiency between 60 and 70%.

Samochodowa sieć CAN – zagrożenia włamaniami

Current vehicle designs undergo real technological revolution in recent years, similar to the one which already happened in the aerospace industry in the seventies. Reason for those changes was replacement of electromechanical control systems with microprocessor-based systems, which in turn were connected by larger control networks. Internal vehicle communication networks can become a target for hacker, who, with specialized knowledge, can influence behavior of this network and alter vehicle reactions to control inputs. One could even place “logic bomb”, advanced algorithms which would wait until dangerous driving conditions are detected and only then activate itself, leading in turn to severe accidents. So far security of car communication networks was not part of a public discussions. The reason is that until recently these systems were not so heavily involved into driver security. Currently start of these discussions seems unavoidable. In this article authors presented basic means of attacking CAN communication network within the vehicle and possible consequences. Some possible means of protection before these attacks were described. This issue was analyzed mainly in terms of possible legislation activities to enforce security procedures for civilian, governmental and military vehicles.

Design of active disturbance rejection control with noise observer for an optical reference unit

The wide-bandwidth optical reference unit (ORU) can provide a reference beam for the line-of-sight stabilization system to achieve precise pointing and tracking. The reference beam leaves the ORU with minimal jitter and becomes a stable ”virtual” star. Active disturbance rejection control (ADRC) is developed from PID control and has been widely used in various electromechanical control systems. However, with the increase of control bandwidth, the high sensor noise seriously affects the stabilization accuracy. In this paper, an improved linear active disturbance rejection control is proposed to improve the performance of the ORU. A noise observer (NOB) is used to suppress the high-frequency noise in the sensor signal and enhance the bandwidth of the ADRC. Simulation results and experimental data indicate that the pointing accuracy and speed are improved.

Characteristics of Electrohydraulic Control System for Electromechanical Coupled Transmission of Plug in Hybrid Electric Vehicles

This study focuses on exploring the characteristics of the electromechanical coupling transmission electro-hydraulic control system of plug-in hybrid electric vehicles, and proposes corresponding optimization measures to improve the performance and economy of the vehicle, and reduce the impact on the environment. Firstly, we analyze the working mode of plug-in hybrid vehicles; then design the structure of electromechanical coupling with variable speed and the main components of the electro-hydraulic control system, including flow control system, cooling lubrication circuit, brake and shift control circuit, hydraulic valve and spring. Finally, we applied AMESim simulation software to analyze the response characteristics of each hydraulic valve and optimized the relevant parameters of the valve based on the simulation results. By establishing a dynamic simulation model for the electro-hydraulic control system, in-depth analysis is conducted on the pressure and flow response characteristics of the clutch under slope and step signal control.

The study on the nonlinear variation law of power MOSFET's environmental thermal resistance

As an important component in the electromechanical control system, power MOSFET has been widely used in important fields such as electric power, transportation and aerospace. Environmental thermal resistance exists between the shell and the environment of power MOFSET, and its numerical variation has a significant impact on the thermal safety and residual life of power MOFSET. In order to explore the variation law of the environmental thermal resistance, this paper uses the power MOFSET temperature rise experimental platform and the junction-environment thermal network model to measure and analyze the environmental thermal resistance under natural convection and forced air cooling conditions. The experimental results show that under natural convection conditions, the thermal resistance of the power MOFSET environment decreases power exponentially with the increase of the steady-state shell temperature. Under forced air cooling condition, the thermal resistance of power MOFSET environment increases exponentially with the decrease of ambient wind speed. The exponential function that accurately describes the variation law of the above environmental thermal resistance can be obtained through data fitting, which provides important theoretical support for the development of thermal safety assessment and life prediction methods of power devices.

Application of Internet of Things Technology in Mechanical Automation Control

In order to solve the problem of low production efficiency of the mechanical electromechanical automatic control system, this paper proposes a manufacturing mechanical automatic detection system based on Internet of things technology. Automatic detection of manufacturing machinery is realized by setting data module monitoring, which includes the data monitoring module and signal detection module. The experimental results show that compared with the traditional computer vision system, the detection system designed in this paper has a higher level of basic data and better detection accuracy. The detection accuracy can be improved by about 10% in different detection times. Conclusion. The mechanical and electrical automation control system based on the Internet of things can effectively improve the production efficiency and control accuracy of the mechanical and electrical automation control system.

Design and experiments of ultra-precision aerostatic turning machine tool

Ultra-precision turning is one of the commonly machining methods to obtain high-quality optical components. Ultra-precision turning machine tools are the industrial equipment that realize ultra-precision turning process. In this paper, a combined design, performance analysis and experimental verification are carried out to build an ultra-precision aerostatic turning machine tool (UPATMT), which adopts aerostatic support systems for the spindle system and the feed system. Firstly, the mathematical model and physical model of UPATMT are established, and the dynamic performance of UPATMT model is carried out and analyzed by finite element method. In addition, the electromechanical control system is simulated and analyzed to obtain better dynamic performance. Finally, the modal tests and turning experiments are carried out on a homemade UPATMT platform. The machined workpiece surface roughness is measured, the arithmetical mean deviation of the workplace surface roughness is Ra 7.4 nm, and the maximum peak valley height of workplace surface roughness Rz 34.4 nm. The results show that electromechanical coupling analysis can obtain high machining performance of UPATMT.

Investigation of energy characteristics of the electromechanical control system of 4-drive electric vehicle

Purpose. To determine for the developed electromechanical control system of a 4-drive electric vehicle, the power of the drives and the coefficients of the gearboxes that ensure the minimum energy consumption during acceleration from 0 to 100 km / h in 5 s. Research methods. Mathematical analysis and modeling. Findings. The proposed solution is to determine, for a given vehicle dynamics (acceleration from 0 to 100 km / h in 5 s), by mathematical modeling, values of drive powers and gear ratios, which increase the efficiency of the electromechanical system. The condition for increasing the efficiency is to minimize the consumption of electrical energy for acceleration. The developed computer model of the electromechanical control system of the 4 - drive electric vehicle allows to carry out researches on definition of electromechanical parameters of the control system providing the minimum energy consumption at dispersal from 0 to 100 km / h for 5 s. The current consumed by the drives was determined by studying the energy characteristics of the drives obtained on a previously developed laboratory stand. Gear ratios and drive power have been found to provide minimum power consumption when accelerating a 4-wheel drive electric vehicle. From the obtained data it is seen that for each power studied there are minima in the range of gear ratios 1-3,4. Also in the course of the research it was found that among the studied powers of 30-160 kW there is a drive that uses less energy. For the studied electric vehicle, these are four drives of 75 kW with a reduction factor of 3,3. The presence of minima in the interval between the gear ratios and the interval of the studied drive powers is explained by the variability of the engine efficiency in the load ranges varying from 0.3 to 2 times and the engine shaft speed of 0-3000 rpm, due to varying degrees of loss impact, the dynamic modes of the drive. Originality. The study of energy characteristics based on the developed control system for a 4-wheel drive vehicle makes it possible to find the electromechanical parameters of the system that provide a minimum of energy consumption during acceleration from 0 to 100 km/h in 5 s. Practical value. The electromechanical parameters of the control system of the 4-drive electric vehicle obtained as a result of research allow to receive economy of electric energy at dispersal from 0 to 100 km / h for 5 s in 2-3% within one experimental nominal power of the engine.

Digital Control System for Stepping Motor Driver Chip

Stepper motor is a common execution unit in electromechanical control system. In order to realize the high precision and effective control of the stepper motor, a digital control scheme integrated in the stepping motor driver chip is proposed. On the ADMS platform, the digital control system is designed by Verilog HDL language, and the digital control system is connected with the H-bridge circuit. The control of the two-phase micro-stepping motor is realized by Eldo and Modelsim simulation. It can support SPI bus to set working mode, attenuation time, micro-stepping work mode and other parameters. The intelligent harmonic scheme can effectively reduce the ripple current, and the ripple current can be controlled. The control scheme adopts modular design, the coding is simple and easy, and has high application value.

Полиномиальный метод синтеза регуляторов по задающему и возмущающим воздействиям

Linear controlled objects with one input and one output (single input - single output, SISO), and objects with multiple inputs and multiple outputs (multi-input – multi-output, MIMO) have different formalized controller synthesis algorithms. At the same time, objects with an unequal number of inputs and outputs, in many cases, are built by the developer intuitively, when changing the existing calculation algorithms for each control object, therefore, the development of a formalized calculation algorithm for this type of objects is relevant. Within the framework of this work, it is proposed to extend the synthesis technique for multichannel objects, which is the polynomial synthesis technique, to objects with a smaller number of inputs compared to the number of outputs, namely, to objects with one input and several outputs (single input – multi-output, SIMO). The reasoning developed in the work is an example of calculating an electromechanical tension control system in the material transportation zone of the production line, which has one input – the voltage supplied to the electric motor and four outputs–- the armature current, the rotation speed of the electric motor shaft, the rotation speed of the roll, the tension in the zone under consideration and the elastic moment. The tension in the considered zone is an adjustable coordinate. The use of the polynomial synthesis method for objects with a non-square matrix function made it possible to place the poles of a closed system in a given position, and the transfer function does not contain zeros according to the assignment. It was also possible to set the disturbance-stimulated zeros of the closed system in such a way that a second-order astatism is obtained.

A Global Optimization Algorithm for Intelligent Electromechanical Control System with Improved Filling Function

To improve the speed of global optimization algorithm, a class of global optimization algorithms for intelligent electromechanical control system with improved filling function is proposed. By attaching the intelligent managing system improving algorithm and the filling function procedure, the algorithm can stand out from the current particular optimal solution, avoid the phenomenon of falling into the local favorable solution in the process of algorithm iteration, make the algorithm find a better solution, and improve the efficiency of solving the multiextremum global improving problem. Multiextremum-seeking is an optimal control technique that works with unknown conditions while assuming that measurements of the plant’s input and output signals are accessible. The presented work is for an electromechanical system which will handle the low accuracy and untimely tendency of conventional systems which are used in various practical applications. Few learning algorithms have been developed to explicitly optimize mean average precision (MAP) due to computational constraints. The outcomes show that the convergence of the test functions F6 and F7 is not good when the MAPID algorithm is only used for optimization. The MAPID_FF algorithm not only ensures the convergence and optimization precision of the two test functions, but also reduces the optimization time compared with the filling function method. Compared with the filling function method, the improved algorithm has higher accuracy and faster speed, and it is not simple to fall into the local optimum, so the global optimal value is more accurate.

Modeling and Simulation of the NC Feed System based on MATLAB / Simulink

Feed servo system often adopts the CNC system with the digital controller as the core. In such a computer control system, it involves both continuous signal processing and digital signal processing.The numerical control machine tool feed sampling control system is a more complex electromechanical control system, and has nonlinear characteristics, the mathematical model established is a higher-order model, through the simplified transfer to the second-order system model, to facilitate computer simulation operation, so that the numerical control machine tool static performance and dynamic performance parameters to meet the design requirements.

Принцип построения, синтез и исследование электромеханических силокомпенсирующих робототехнических механизмов с нежёсткими передачами. Часть 2. Синтез и исследование электромеханических силокомпенсирующих систем манипулятора с нежёсткой механикой

Предложена структура построения и описана методика синтеза адаптивной электромеханической силокомпенсирующей системы управления робототехническим механизмом с упругим исполнительным устройством. Синтез системы выполнен с использованием метода обратных частотных характеристик. Получены аналитические выражения для определения параметров корректирующего устройства, обеспечивающего требуемый статизм по усилию и качество процессов управления. Проведено исследование по возмущающему воздействию механической части манипулятора без электропривода и с применением предложенной системы управления усилиями с синтезируемым корректирующим устройством, имеющим разные структуры и параметры. Результаты решения задачи синтеза показали, что система должна обладать интегро-дифференцирующими свойствами. Проанализированы различные структуры корректирующих устройств, позволившие определить области рационального применения силокомпенсирующих систем робототехнических механизмов с нежесткими передачами.

Design of Ai Based Vacuum Cleaning System with Information Storage

Now the trending technologies has created new demands for compact living and households. Household appliances perform an important role in modern homes, where the life-cycle of the products play a significant role. Products that spend most of their time in storage are required to answer new user demands to interplay and integrate into the household, including products such as vacuum cleaners. In recent years, floor cleaning machines are getting more popular for cleaning large floor area in minimum time. However in India, which is a developing country requires large type of such machines to satisfy the cleaning needs. The present invention relates to the field of artificial intelligence controlled vacuum cleaning system with information storage is specially designed to clean up the surface with the help of electromechanical control system. The system is designed to record the information about the surface to clean and to store the same in the memory.

Automatic Electromechanical Control System Based on PLC Technology

With the continuous progress of science and technology, China is transforming into the field of industrial automation, striving to contribute to the liberation of labor force and the realization of assembly line industrial automation. The operation of the traditional automatic electromechanical control system(AECS) still needs a lot of manual operation, which is difficult to realize the development of all automation of electromechanical control. The new AECS proposed at present is to realize the automation, intelligent and remote control of electromechanical control system, and truly take the control system as the center for electromechanical control production.Therefore, this paper puts forward the design and application of AECS based on PLC technology. Through research, this paper expounds the AECS based on PLC technology and its application. PLC technology can realize automation and integrated control in system control, compact structure, and can accommodate the conversion of many digital signals to realize its control function of the system, study the software design of AECS, mainly design the input interface and output interface. In order to understand the application and performance of PLC technology in automatic electromechanical system, this paper compares and analyzes the fuzzy PID control error of PLC technology and the performance of AECS based on PLC technology with traditional AECS. The experimental results show that in the comparative analysis of simulation experiments between the performance of AECS based on PLC technology and traditional AECS, the proportion coefficient of traditional AECS is 1.63, the integral time constant is -1.06, and the differential time constant is 0.29, while the proportion coefficient of AECS based on PLC technology is 0.56, the integral time constant is 0.37 and the differential time constant is 1.18. The deviation of AECS based on PLC technology is smaller than that of traditional automatic electromechanical control, and the static error is also smaller, but its response speed is faster and its performance is better.

Application of Fuzzy Neural Network PID In Laser-guided Mortar Projectile

Based on the high control performance requirement of laser-guided mortar control system, the permanent magnet synchronous motor (PMSM) is adopted in this paper as the electromechanical actuator of the system, the mathematical model of the motor is analyzed, and the vector control technology is adopted to achieve precise control of position, speed and torque of the electromechanical actuator. Aiming at the characteristics of non-linearity, strong coupling and large parameter changes of the system in flight, an improved fuzzy neural network PID control method is proposed by combining the classical PID control algorithm with fuzzy control and neural network control algorithm to realize the real-time tuning and optimization of PID parameters. The mathematical model of the electromechanical actuator control system is established and simulated. The results show that the fuzzy neural network PID control has good tracking performance, small amplitude error, and strong adaptability to load changes.