PID Temperature Control System Research Articles

Design of vacuum annealing furnace temperature control system based on GA-Fuzzy-PID algorithm.

As is well known, the metal annealing process has the characteristics of heat concentration and rapid heating. Traditional vacuum annealing furnaces use PID control method, which has problems such as high temperature fluctuation, large overshoot, and long response time during the heating and heating process. Based on this situation, some domestic scholars have adopted fuzzy PID control algorithm in the temperature control of vacuum annealing furnaces. Due to the fact that fuzzy rules are formulated through a large amount of on-site temperature data and experience summary, there is a certain degree of subjectivity, which cannot ensure that each rule is optimal. In response to this drawback, the author combined the technical parameters of vacuum annealing furnace equipment, The fuzzy PID temperature control of the vacuum annealing furnace is optimized using genetic algorithm. Through simulation and comparative analysis, it is concluded that the design of the fuzzy PID vacuum annealing furnace temperature control system based on GA optimization is superior to fuzzy PID and traditional PID control in terms of temperature accuracy, rise time, and overshoot control. Finally, it was verified through offline experiments that the fuzzy PID temperature control system based on GA optimization meets the annealing temperature requirements of metal workpieces and can be applied to the temperature control system of vacuum annealing furnaces.

MCU-Based PID Temperature Control System for Linear Heating and Cooling

In this study, we have designed and developed a PID temperature controller with the core control unit based on the STC12 microcontroller, along with AD conversion chips and LM2596 power modules. This system effectively maintains temperature stability within a set range, with a steady-state error of less than 0.1°C. Moreover, it allows for precise and near-linear temperature ramping from room temperature to 400°C, and subsequent linear fitting of the heating curve consistently yielded coefficient of determination exceeding 0.999. This innovative approach represents a heating method suitable for semiconductor sensors and holds significant promise for application in industrial settings.

The investigation of a fuzzy-internal mode PID-based temperature control system for solid state electric storage heaters

It is a fuzzy internal mode PID temperature control system designed for solid electric storage heating systems with high inertia, hysteresis, and nonlinearity. Experimental results demonstrate that the control strategy has a high level of model adaptability and anti-interference capability for the changing operating conditions of solid-storage boilers, that the system overshoot is steadily controlled within 5% and that hysteresis cannot adversely affect the stability of the control system, that the control accuracy of water supply temperature can reach ± 1∘C, and that the control quality is superior to traditional PID strategies.

Comparative Analysis of PID and Fuzzy Temperature Control System on Infant Warmer

Infant Warmer is a life support equipment that is used to provide heat relief for normal and premature babies who are unable to maintain their own body temperature when in a new environment. The purpose of this research is to design an infant warmer using the DS18B20 sensor to analyze the efficiency and effectiveness between PID and fuzzy temperature control. This study used temperature settings of 34 °C, 35 °C, and 36 °C. The tool used for reference from standard measurements uses a standard infant warmer. When using the PID control used in the microcontroller detects the set temperature difference value with the actual temperature, the difference in value will be input to the PID control. The error value becomes PWM input on the PID control, the PID control will process the error value and determine the output value for the heater, the temperature sensor will read the actual temperature value which will be compared again with the temperature setting, the PID control will continue to process the error value and determine the PWM output value. until the actual temperature is equal to the setting temperature or the error value is zero

Design of Diesel Oxidation Catalyst Temperature Control System Based on Fuzzy Adaptive PID

This paper presents a temperature control framework of Diesel Oxidation Catalyst (DOC) of after-treatment system (ATS) which aims to increase the control precise of DOC temperature under different exhaust flow rates. To start with, a control-oriented DOC temperature model is established. Considering the sensitivity of DOC to different exhaust flow rate, a fuzzy adaptive PID temperature control system framework under the Smith predictor is designed. Finally, the controller is verified in the Matlab/Simulink. The results show that when tracking the desired temperature, the overshoot is reduced and the response speed is faster at different exhaust flow rates compared with the traditional PID control system.

Design of self-heating test platform for sulfide corrosion and oxidation based on Fuzzy PID temperature control system

In this paper, the changes of oxidation temperature of sulfide corrosion and the deficiency of distributed optical fiber application were analyzed. The test platform of oxidation temperature of sulfide corrosion was established, and the performance test of optical fiber and the simulation of oxidation temperature of sulfide corrosion were realized. The hardware part of the control system used STM32 as the controller, the software part was based on the process characteristics of the controlled object, using MATLAB to carry out the simulation of PID, fuzzy, fuzzy PD plus I, fuzzy PID algorithms, and their performance are evaluated using both single indexes and comprehensive indexes. The experimental results also showed that the proposed fuzzy PID can achieve better control performance with less overshoot and shorter setting time. Therefore, the fuzzy PID was chosen as the temperature control algorithm to build the optical fiber sensor test platform, and an alarm method for testing the oxidation temperature of large area sulfide corrosion based on the optical fiber performance was obtained. Then, considering the influence of spatial resolution on optical fiber sensor, this paper used piecewise PID to simulate the temperature rise process of three stages of sulfurization corrosion and oxidation. The results showed that the alarm method of oxidation temperature of sulfurization corrosion has limitations for small-scale oxidation of sulfurization corrosion, and it needed to be combined with machine learning to identify temperature anomaly.

Computer Assisted E-Laboratory using LabVIEW and Internet-of-Things Platform as Teaching Aids in the Industrial Instrumentation Course

<p class="0abstract">Nowadays, the emerging trend of utilizing the internet technology to improve teaching methods has caught the attention of many researchers. The education sector is the particular sector which has been getting the influence to implement more advanced teaching methods, and this can be seen through the application of the monitoring system, remote control, and even data acquisition through the Internet. Therefore, this study demonstrates the development of the interactive system via the Internet for the remote access to the equipment known as LD-Didactic temperature system which is used in the laboratory. This particular system is developed using an Arduino-Espresso8266 and LabVIEW platform which is integrated with Blynk software in order to remotely control the Proportional, Integral, and Derivative (PID) setting. Furthermore, the proposed framework is specifically focused on the PID temperature control system, which allows students to learn and simulate the concept of the control scheme by adjusting suitable parameter gains. Moreover, the system evaluation demonstrates the functionality and ability of direct controlling, monitoring, and tracking in order to achieve the targeted temperature control. These three strategies ensure the reproducibility of the experiment for the implementation in different systems. Last but not least, the designed system illustrates that full integration of the system with the internet platform provides students with the underlying knowledge of fundamentals, graphic visualization, and simulation practices. These will subsequently facilitate the learning process of the students.</p>

Printability Study of Bioprinted Tubular Structures Using Liquid Hydrogel Precursors in a Support Bath

Microextrusion-based bioprinting within a support bath material is an emerging additive manufacturing paradigm for complex three-dimensional (3D) tissue construct fabrication. Although a support bath medium enables arbitrary in-process geometries to be printed, a significant challenge lies in preserving the shape fidelity upon the extraction of the support bath material. Based on the bioprinting in a support bath paradigm, this paper advances quantitative analyses to systematically determine the printability of cell-laden liquid hydrogel precursors towards filament-based tissue constructs. First, a yield stress nanoclay material is judiciously selected as the support bath medium owing to its insensitivity to temperature and ionic variations that are considered in the context of the current gelatin-alginate bio-ink material formulation. Furthermore, phenomenological observations for the rheology-mediated print outcomes enable the compositions for the bio-ink material (10% gelatin, 3% alginate), in tandem with the support bath medium (4% nanoclay, 0.5% CaCl2), to be identified. To systematically evaluate the performance outcomes for bioprinting within a support bath, this paper advances an experimental parametric study to optimize the 3D structural shape fidelity by varying parameters such as the layer height, extrusion flowrate, printing temperature, and printhead speed, towards fabricating complex 3D structures with the stabilization of the desired shape outcome. Specifically, it is found that the layer height and printhead speed are determinant parameters for the extent of successive layer fusion. Moreover, maintenance of an optimal bath temperature is identified as a key parameter for establishing the printability for the hydrogel bio-ink. Studying this effect is enabled by the custom design of a PID temperature control system with integration with the bioprinter for real-time precision control of the support bath temperature. In order to qualify the printed construct, a surface irregularity metric, defined as the average height difference between consecutive local maximum and minimum points of the binary image contour for the printed structure, is advanced to evaluate the quality of the printed constructs. Complex one-to-four bifurcating tubular structure prints demonstrate the applicability of the optimized bioprinting parameter space to create exemplar 3D human vessel-like structures. Finally, a cell viability assay and perfusion test for a printed cell-laden tubular element demonstrates high cell survival rates and leakage-free flow, respectively.

Simulation of PID Temperature Control System Based on Neural Network

Simulation of PID Temperature Control System Based on Neural Network

Design of Fuzzy PID Temperature Control System

Temperature plays an important role in daily life, industry production and scientific experimentation. However, because of the multi characteristics of nonlinearity, large lag, and time-varying of control objects, there will be great difficulties in establishing accurate mathematical models with mathematical methods. In order to achieve well controlling effects, this paper proposes a mature controlling system. This system combines PID algorithm and fuzzy control to design a fuzzy PID intelligent controller, which could process complex data and complex systems simultaneously. The high flexibility of fuzzy control and the high precision of PID control of this system could solve the influence of large inertia and interference of the temperature control system. This design will adopt the STC89C52 MCU as the main control core. Meanwhile, the fuzzy PID controller are combined with fuzzy control and PID control to control the temperature. In this paper, we first introduce the hardware composition of PID temperature control system. Secondly, we use proteus to build the general circuit diagram, and then use KEIL software to program again. Finally, we simulate the system and analyze the simulation results by the simulink module in MATLAB, and finally achieve the expected results.

Research and Design of the Temperature Control System of Crystal Annealing Furnace

Herein, a novel fuzzy PID temperature control system was proposed based on the technological process and control requirement of the crystal annealing furnace. Simultaneously, the electric control system was also designed with SIEMENS S7-300 PLC as the master controller. The results indicated that the system has the merit of rapid response time, low temperature fluctuation and all of the test items could meet the requirement of the actual utilization.

Design of PID Temperature Control System Based on BP Neural Network

Based on BP neural network PID controller has the ability to approximate any nonlinear function, can achieve real-time online tuning PID controller parameter . Through the system simulation analysis, simulation results show that the BP neural network tuning PID control than traditional PID algorithm and BP network algorithm has a greater degree of improvement, the system has better robustness and adaptability, its output can also achieve the desired control accuracy through online adjustments. Suitable for temperature control system.

Temperature Control in High Precision by PID Based on LabVIEW

A PID temperature control system was designed with the LabVIEW graphical programming language and the PID toolkit. Data collection, PID control, data record and data check were experimented to a practicable instrument with the purchased programming power supply and data collection record system. The hardware and software of the computer with the virtual instrument system was proofed to be practical and the smooth control of the system temperature with the accuracy of 1 was available.

Design of Temperature Control System Based on DSP and Fuzzy Neural Network

Using fuzzy neural network to tune PID parameters, and DSP as processor, it was designed that a set of electric boiler temperature control system based on PID parameters self-tuning, including the design of each hardware module and each software subroutine of the system. Experimental results show that compared with the traditional PID temperature control system, this temperature control system has the advantages such as good control effect, easy parameter adjustment, strong anti-jamming capability, better adaptability and robustness, has the feasibility and practical value.

Based on Neural Network PID Controller Design and Simulation

The technologic of PID control is very conventional. There is an extensive application in many fields at present. The PID controller is simple in structure, strong in robustness, and can be understood easily. Then neural networks have great capability in solving complex mathematical problems since they have been proven to approximate any continuous function as accurately as possible. Hence, it has received considerable attention in the field of process control. Due to the complication of modern industrial process and the increase of nonlinearity, time-varying and uncertainty of the practical production processes, the conventional PID controller can no longer meet our requirement. This paper introduces the theoretical foundation of the BP neural network and studying algorithm of the neural network briefly, and designs the PID temperature control system and simulation model based on BP neural network.

Fuzzy PID Temperature Control System of Reaction Kettle Based on PLC

Adopt a fuzzy PID control algorithm in order to solve the control difficulty which caused by the uncertainty lag of temperature control in chemical reaction kettle. The algorithm is realized by utilizing PLC system function. The system takes full advantage of the features of PLC control system, such as flexibility, reliability, and strong capacity of resisting disturbance. Field application result shows that the system eliminates the impact of time-varying delay on control function well. It has good robustness.

접시형 태양열 시스템을 이용한 2단계 열화학 싸이클의 수소 생산과 PID 온도 제어 기법 연구

Solar thermal reactor was studied for hydrogen production with a two step thermochemical cycle including T-R(Thermal Reduction)step and W-D(Water Decomposition) step. NiFe2O4 and Fe3O4 supported by monoclinic ZrO2 were used as a catalyst device and Ni powder was used for decreasing the T-R step reaction temperature. Maintaining a temperature level of about 1100℃ and 1400℃, for 2-step thermochemical reaction, is important for obtaining maximum performance of hydrogen production. The controller was designed for adjusting high temperature solar thermal energy heating the foam-device coated with nickel?ferrite powder. A PID temperature control system was designed based on 2-step thermochemical reaction experiment data (measured concentrated solar radiation and the temperature of foam device during experiment). The cycle repeated 5 times, ferrite conversion rate are 4.49∼29.97% and hydrogen production rate is 0.19∼1.54mmol/g-ferrite. A temperature controller was designed for increasing the number of reaction cycles related with the amount of produced hydrogen.

Precisie PID Temperature Control Based on LabVIEW

A PID temperature control system was designed with the LabVIEW graphical programming language and the PID toolkit. Data collection, PID control, data record and data check were experimented to the practicable instrument with the purchased programming power supply and data collection record system. Operate the hardware and software of the computer with the virtual instrument and realize the smooth control of the system temperature with the accuracy of 1.

The New KRISS Low Frost-Point Humidity Generator

A new low frost-point humidity generator (LFPG) has been designed, and its performance has been tested, in order to extend the calibration capabilities to the low frost-point range at KRISS. The water vapor–gas mixture is generated by saturating air with water vapor over a surface of an ice-coated saturator under the conditions of constant temperature and pressure. This LFPG covers a range of frost point from − 99 °C to − 40 °C. The temperature of the saturator, which is controlled by thermoelectric devices and a two-stage mechanical refrigeration system, is stable within 5 mK, and the difference between the saturator temperature and the frost point generated at the saturator outlet is less than 20 mK. This stability is achieved by using oxygen-free high-conductivity copper materials as the saturator body, and applying a precision PID temperature control system. The performance of this new LFPG system is compared with the KRISS standard two-temperature generator in the frost-point range ( − 80 to − 40) °C, and its performance is tested with a quartz crystal microbalance (QCM), which was built at KRISS, to − 91 °C.

タグチメソッドによる組み込み温度制御システムのロバストPIDパラメータ設計

This paper proposes a robust PID parameter design scheme using Taguchi's robust design method. This scheme is applied to an embedded PID temperature control system which is affected by outside (room) temperature. The effectiveness of this scheme is verified experimentally with a cooking household appliance.