Fuzzy Parameters PID Control and Simulation Experiment of Permanent Magnet Linear Synchronous Motor

2011 ◽  
Vol 383-390 ◽  
pp. 2608-2611 ◽  
Author(s):  
Xiao Yu Qin ◽  
Sun Hua
Keyword(s):  
Permanent Magnet ◽  
Pid Control ◽  
Speed Control ◽  
Linear Motor ◽  
Matlab Simulation ◽  
Control Effect ◽  
Control Comparison ◽  
Optimizing Control ◽  
The Impact ◽  
Fuzzy Parameters

On PID control and fuzzy control in permanent magnet synchronous linear motor (PMLSM) there is some shortage. Control for linear motor characteristics of vulnerable parameter perturbation is proposed based on fuzzy self-optimizing control algorithm to reduce the dependence on the model. GA algorithm using the parameters of fuzzy algorithm self-optimizing tuning, the motor can be reduced to some extent the impact of changes in their model, and improve the control effect. Finally, Matlab simulation of the PMLSM traditional PID speed control with fuzzy parameters self-optimizing speed control comparison, the results show that the fuzzy parameters self-optimizing control is better than traditional PID control.

Research on Simulation of Electronic-Protection Circuit of Chopper Cascade Speed Control System

2014 ◽  
Vol 721 ◽  
pp. 569-574
Author(s):  
Zhao Yan Zhang ◽  
Xing Wu Wang ◽  
Yong Guang Ma
Keyword(s):  
Control System ◽  
Transient Process ◽  
High Voltage ◽  
Speed Control ◽  
Matlab Simulation ◽  
Power Failure ◽  
Speed Control System ◽  
Protection Circuit ◽  
Failure Conditions ◽  
The Impact

Firstly, according to the topology of conventional chopper cascade speed system to analyze the transient process of main loop during of contactor operation when device failure. Because the contactor action requires a longer time, Equipment is vulnerable to the impact of high voltage, high current during the contactor action, and cause damage to power electronic devices. For contactors drawbacks, the main circuit topology with electronic-protection circuit is designed. Then analyze transient process of chopper cascade speed control system with electronic-protection circuit under high-voltage power failure conditions. Finally, simulation model of chopper cascade speed control system with electronic-protection circuit is built respectively in Matlab. Simulation results show that electronic-protection circuits effectively solve the problem of high-voltage power failure under active inverter structure and inverter subversion.

The Design and Simulation of Scheelite Alkali Autoclave Reactor Fuzzy-PID Controller

2014 ◽  
Vol 599-601 ◽  
pp. 1098-1101
Author(s):  
Xiao Yao Luo ◽  
Bin Chen ◽  
Meng Yu ◽  
Qi Xiong
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Autoclave Decomposition ◽  
Object Of Control ◽  
Autoclave Reactor

In view of the present situation of scheelite smelting technology in China, we analyze the existing equipment and process problems,put forward the technique of mechanical enhancement of scheelite and alkali autoclave decomposition method combining with the temperature, the temperature of reaction kettle as the main object of control, the fuzzy control and PID control combined to design a two-dimensional fuzzy controller, through the MATLAB simulation results show that, the control effect, safety and feasibility of good.

scholarly journals Terminal sliding mode speed control method of permanent magnet synchronous linear motor based on adaptive parameter identification

2021 ◽  
Vol 13 (4) ◽  
pp. 168781402110129
Author(s):  
Zheng Li ◽  
Qingshan Zhang ◽  
Jinfeng An ◽  
Yu Xiao ◽  
Hexu Sun
Keyword(s):  
Control System ◽  
Parameter Identification ◽  
Permanent Magnet ◽  
Control Method ◽  
Sliding Mode ◽  
Speed Control ◽  
Linear Motor ◽  
Terminal Sliding Mode ◽  
Adaptive Parameter ◽  
Speed Regulator

In order to make the speed adjustment system of the permanent magnet synchronous linear motor more stable and make the convergence performance of the speed control system better, a speed regulator based on the terminal sliding mode algorithm is proposed. In addition, the permanent magnet synchronous linear motor will also be affected by temperature changes during its operation. Aiming to enhance the adaptability of linear motors to parameter changes, a terminal sliding mode speed control idea based on adaptive parameter identification is proposed. The Popov stability theory and the mathematical model of linear motor are used to construct a parameter identification system. The identification flux parameters are used as the control algorithm of the terminal sliding mode speed regulator and the update matching of speed regulator flux parameters and motor system parameters are realized. Through the above algorithm, the performance of the entire speed control system is improved. The results of simulation experiments can illustrate the effectiveness of this control method and its effect on improving the control performance.

Research and Simulation Base on Asynchronous Motor Soft Starter

2011 ◽  
Vol 403-408 ◽  
pp. 3615-3619
Author(s):  
Gang Zhao ◽  
Lei Wang
Keyword(s):  
Asynchronous Motor ◽  
Paper Analysis ◽  
Matlab Simulation ◽  
Control Effect ◽  
Squirrel Cage ◽  
Current Limit ◽  
Soft Starter ◽  
Voltage Ramp ◽  
Voltage Limit ◽  
The Impact

Soft-Starter is a new equipment and it is used to control Squirrel-Cage Induction Motors because of its pefect control effect, compared with the traditional Start method. This paper analysis the superiority of Voltage Ramp and current limit control algorithm.The MATLAB simulation result base on 4.7KW Motor shown that the soft-starter can be used to Reduce the start voltage, limit start Current and Reduce the impact on power. Correctness and validity of algorithms is verified by simulation results.

The Improvement of PID Control Based on Programming Transition Process

2011 ◽  
Vol 291-294 ◽  
pp. 2934-2937
Author(s):  
Zhao Qiang Zhang ◽  
Xiao Min Zhu ◽  
Jun Yang Li
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Control Process ◽  
Transition Process ◽  
System Model ◽  
Matlab Simulation ◽  
Control Effect ◽  
Whole Process ◽  
Control Goal

PID controller has already been applied widely, but it is difficult to meet the requirement of both static and dynamic performance, which makes PID running without efficiency. Through programming transition process, the paper designs the rationality of given signals in the whole process and introduces an auxiliary application of differential signals, which can realize the control goal in programming control process and make the control key change from confirming the transition of system model to estimating the constant time of system roughly, and the control effect has been improved evidently. By analyzing MATLAB simulation, the paper verifies that the algorithm is reasonable and prevalent.

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