Variable Structure Fuzzy PID Plane Flat End Steering Gear Servo System

2013 ◽  
Vol 310 ◽  
pp. 532-535
Author(s):  
Le Peng Song ◽  
Hua Bin Wang
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Fuzzy Theory ◽  
Servo System ◽  
Good Control ◽  
Variable Structure ◽  
Mathematic Model ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control

A mathematic model, focusing on the control of tail plane actuator servo system, is established based on control theories. Considering its nonlinearity and intermittence, a fuzzy-PID control method is brought forward based on fuzzy theory. The design of a fuzzy-PID controller has been accomplished. and its comparision with conventional PID control and P control has been made. The final system simulation is conducted with Simulink under the effect of unit step signal.The result shows that the fuzzy-PID control has a better performance in speed, response and anti-jamming. It has a satisfactory dynamic characteristic while not losing the advantages of the fuzzy control and the PID control. Therefore, it enhances the integral property of the tail plane actuator servo system and obtains a good control effect. In a word, the new system can meet the requirement of the system better.

Fuzzy-PID Control of Electronic Controlled Diesel Engine

2012 ◽  
Vol 201-202 ◽  
pp. 1143-1146
Author(s):  
Li Yong Hu ◽  
Guo Sheng Feng ◽  
Su Mei Jia ◽  
Wei Zhang
Keyword(s):  
Diesel Engine ◽  
Pid Control ◽  
Control Method ◽  
Dynamic Performance ◽  
Dynamic Control ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Magnetic Actuator ◽  
Electro Magnetic

In order to satisfy the demand of increasingly stringent emission regulations and enhance fuel economy and increase dynamic performance of vehicle diesel engine, the working parameters of electronic controlled diesel engine should be changed properly. An electromagnetic actuator controlled system was designed based on DSP56F807. The control strategy of fuzzy-PID and fuzzy control model for electro-magnetic actuator was established. The control effect of fuzzy-PID for electro-magnetic actuator and diesel engine was validated through experiment. Experimental results showed that good static and dynamic control effect can be obtained using fuzzy-PID control method.

Research and Applications of Fuzzy-PID Control on NC Machine

2008 ◽  
Vol 392-394 ◽  
pp. 650-654
Author(s):  
Tan Cheng Xie ◽  
X. Nan
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Servo System ◽  
Control Unit ◽  
Numerical Control ◽  
Milling Machine ◽  
Fuzzy Pid ◽  
Motion Controller ◽  
Fuzzy Pid Control ◽  
Nc Machine

This dissertation mainly introduces Fuzzy-PID Control which are used in the PFPL (Pseudo-flexible Production Line). The servo system plays an important role in the NC machine. The performance of servo system decide the quality of NC machine in very great degree This dissertation research and develop a milling and paring manufacture unit of open CNC system -- Numerical control unit of PFPL. By using the GT-SV motion controller, put up the software and hardware platform of NC unit rapidly with module design method and the target -oriented programming idea .Take NC milling machine as the process platform, this dissertation use intellectual PID control method to improve the servo control of motion controller, through the pointing accuracy survey of the milling machine, confirmed the actual effect of Fuzzy-PID control.

Design and Research of Air-Compressor Control System Based on Fuzzy PID Control

2011 ◽  
Vol 121-126 ◽  
pp. 773-777 ◽  
Author(s):  
Gong Fa Li ◽  
Si Qiang Xu ◽  
Guo Zhang Jiang ◽  
Po Gao ◽  
Jian Yi Kong ◽  
...  
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Method ◽  
Air Separation ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Air Compressor ◽  
Separation Systems

According to the requirements and characteristics of air compressor control systems in the process of air separation, an intelligent control method based on the fuzzy PID was proposed. Through simulating the designed control method, it is concluded that the control effect was extraordinarily satisfactory. It can offer a certain meaning of guidance and reference for the control of other equipment in air separation systems.

scholarly journals Design and Analysis of a Drive System for a Series Manipulator Based on Orthogonal-Fuzzy PID Control

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1051 ◽  
Author(s):  
Zhou ◽  
Chen ◽  
Zhou ◽  
Liu
Keyword(s):  
Motion Control ◽  
Pid Control ◽  
Control Method ◽  
Simulation Analysis ◽  
Drive System ◽  
Test Method ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Orthogonal Test Method

Because the proportional–integral–derivative (PID) parameters selected by experience are random, the control effect of fuzzy PID cannot be optimized. In order to improve the accuracy and stability of robot motion control, an orthogonal-fuzzy PID intelligent control method is proposed. In this paper, the electric steering gear is used as the actuator, and the mathematical model of the servo motor joint drive system is established. The simulation analysis of the original control, PID control, fuzzy PID control, and orthogonal-fuzzy PID control of the manipulator joints in the Simulink software simulation environment and the motion control experiment of the manipulator show that using the orthogonal test method to adjust the PID parameters can quickly determine the appropriate PID parameters and greatly reduce the number of trials. The rise time, adjustment time, and overshoot of the system are significantly reduced by using fuzzy PID control, which can improve the adaptability of the system. By comparing and analyzing fuzzy PID and orthogonal-fuzzy PID control methods, it can be found that the system of orthogonal-fuzzy PID for optimal factor level combination (Kp = 0.1, Ki = 30 and Kd = 0.02) is the optimal system. The experiment results show that the orthogonal-fuzzy PID can further improve the accuracy of the system and reduce the oscillation process of the system near the steady state and make the motion more stable.

Research on Application of Fuzzy PID Control in Linear Servo System

2013 ◽  
Vol 389 ◽  
pp. 556-562 ◽  
Author(s):  
Xiang Cheng Sun ◽  
Hai Chen Qin ◽  
Jian Kui Chen
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Servo System ◽  
Fuzzy Pid ◽  
Direct Drive ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Dynamic Tracking ◽  
Research On Application

Due to the nonlinearity, time-varying and load disturbance in linear servo system, the conventional PID control is hard to get an ideal control effect, this paper deduces the mathematical model of the permanent magnet linear synchronous motor (PMLSM) direct drive system, designs a fuzzy PID controller by combining fuzzy control with conventional PID control, adjust the parameters of PID controller in real time by making use of fuzzy control's ability of adjusting online. Simulation and experimental results show that the fuzzy PID controller is superior to the conventional PID controller in responsiveness, steady performance and dynamic tracking, which can shorten the positioning time, improve the system positioning accuracy.

scholarly journals Research on edge controller based on industrial furnace

2021 ◽  
Vol 2076 (1) ◽  
pp. 012076
Author(s):  
Yi Deng ◽  
Jiapeng Gao ◽  
Xuewen Zhang
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Control Function ◽  
Edge Computing ◽  
Industrial Furnace ◽  
Fuzzy Pid ◽  
Resistance Furnace ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Close Loop Control

Abstract Traditional control instruments and DCS control systems are limited by shortcomings such as single control function, independent controlled elements, inability to close-loop control on site, and ineffective communication. Aiming at these problems, this paper proposes a kind of industrial furnace edge controller which has the functions of acquisition, calculation, control, storage, output and communication in one. The edge controller structure, edge computing and the control method applied to edge computing are designed. The fuzzy PID control method is compared with the conventional PID control method by taking the temperature control of resistance furnace as an example. The simulation shows that the control effect of fuzzy PID on resistance furnace temperature is obviously better than that of conventional PID. The test results also show that the performance indices for the fuzzy PID control are better, which again proves that the fuzzy PID control outperforms. The research results of this paper are of reference value for engineering applications.

Research and Applications of Fuzzy-PID Control on PFPL

2008 ◽  
Author(s):  
Tancheng Xie ◽  
Xiang Nan
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Servo System ◽  
Control Unit ◽  
Numerical Control ◽  
Milling Machine ◽  
Fuzzy Pid ◽  
Motion Controller ◽  
Fuzzy Pid Control ◽  
Nc Machine

This dissertation mainly introduces Fuzzy-PID Control which are used in the PFPL (Pseudo-flexible Production Line). The servo system plays an important role in the NC machine. The performance of servo system decide the quality of NC machine in very great degree This dissertation research and develop a milling and paring manufacture unit of open CNC system – Numerical control unit of PFPL. By using the GT-SV motion controller, put up the software and hardware platform of NC unit rapidly with module design method and the target-oriented programming idea. Take NC milling machine as the process platform, this dissertation use intellectual PID control method to improve the servo control of motion controller, through the pointing accuracy survey of the milling machine, confirmed the actual effect of Fuzzy-PID control.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

scholarly journals Research on Intelligent Control System of Thermal Print Head Based on FPGA

2021 ◽  
Author(s):  
Yang Xu ◽  
Sheng Wang ◽  
Ying Peng
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Print Quality ◽  
Fuzzy Pid ◽  
Single Chip ◽  
Fuzzy Pid Control ◽  
Print Head ◽  
Field Programmable ◽  
Time Required

Thermal print head heating realtime temperature fluctuations are too large, often causing damage to the print head heating point, resulting in poor print quality and unsatisfactory print results. Therefore, in order to improve the stability of the thermal print head during printing, and at the same time solve the inefficiency of the traditional single chip microcomputer control of the thermal print head heating method, a field programmable gate array (FPGA) based thermal print head heating control method is proposed. In order to control the core, the intelligent fuzzy PID control algorithm is used to ensure that the temperature of the print head can be stabilized quickly. Through simulation and experimental verification, it is shown that the intelligent fuzzy PID control algorithm greatly improves the temperature stabilization effect, and the time required to reach stability short, not only improve the printing accuracy, but also extend the life of the print head.

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