Application of Fuzzy-PI Controller in the Asynchronous Motor

2014 ◽  
Vol 1070-1072 ◽  
pp. 1210-1215
Author(s):  
Guang Zhong Li
Keyword(s):  
Asynchronous Motor ◽  
Pi Controller ◽  
Control Effect ◽  
Excitation Current ◽  
Pi Regulator ◽  
Large Fluctuations ◽  
Speed Regulator ◽  
Self Tuning ◽  
Fuzzy Pi Controller ◽  
Control Modules

This paper proposes an induction motor variable frequency speed control system based on fuzzy-PI self-tuning. The system includes coordinate transformation modules, vector control modules, space vector pulse width modules, fuzzy-PI self-tuning speed regulator, excitation current and torque current PI regulator. Because the speed regulator controlled by the fuzzy-PI self-tuning has better control effect than traditional PI. The performance can be reflected by the shorter response time, smaller overshoot. In addition, when the load torque changes, the electromagnetic torque changes more smoothly and does not have large fluctuations.

AC Motor Speed Control Double Close Loop Cascade Fuzzy PI Controller Design

2012 ◽  
Vol 516-517 ◽  
pp. 1571-1574
Author(s):  
Shuang Shuang Li ◽  
Yong Xin Liu
Keyword(s):  
Controller Design ◽  
Asynchronous Motor ◽  
Pi Controller ◽  
Regulation System ◽  
Motor Speed ◽  
Speed Regulation ◽  
Self Tuning ◽  
Fuzzy Pi Controller ◽  
The Difference ◽  
Fuzzy Parameter

Cascade Speed Regulation System has the nonlinear characteristics and whose structure parameters are variable easily. Fuzzy control theory which based on conventional Cascade Speed Regulation System is introduced into such system. An asynchronous motor model is built, and a fuzzy parameter self-tuning controller is designed in this paper, the controller is simulated in Matlab, The simulation result shows the difference between the conventional PI controller and the fuzzy parameter self-tuning PI controller. From these simulation results, all performance indexes of the fuzzy PI controller with parameters self-tuning are vastly superior to those of the conventional PI controller.

Experimental Study of Fuzzy PI Controller of HEV DC/DC Converter

2013 ◽  
Vol 457-458 ◽  
pp. 1195-1199
Author(s):  
Yong Bo Zhang ◽  
Long Yun Kang
Keyword(s):  
Control Systems ◽  
Pi Controller ◽  
Motor Drive ◽  
Pi Control ◽  
Control Performance ◽  
Control Effect ◽  
Hardware Platform ◽  
Self Tuning ◽  
Fuzzy Pi Controller ◽  
Drive Circuit

This paper aims to improve the control performance of series HEV, and mainly conducts the study of the basic components of the control systems bidirectional DC/DC converter and motor drive circuit--the buck chopper and boost chopper. Also, this paper constructs a hardware platform and designs the fuzzy self-tuning PI controller. Through the comparative experiments of PI control and fuzzy PI control, it has been verified that the fuzzy PI controller has better control effect.

Photovoltaic Grid-Connected Micro-Inverter Based on Self-Tuning Fuzzy-PI Controller

2014 ◽  
Vol 986-987 ◽  
pp. 1098-1102 ◽  
Author(s):  
Chang Liang Liu ◽  
Hui Chao Zhang
Keyword(s):  
Control Strategy ◽  
Fuzzy Controller ◽  
Tracking Error ◽  
Pi Controller ◽  
Matlab Simulation ◽  
Highly Nonlinear ◽  
Self Tuning ◽  
Fuzzy Pi Controller ◽  
Pv Grid ◽  
Micro Inverter

This paper introduces a kind of grid-connected micro-inverter system. Photovoltaic micro-inverter system is a highly nonlinear and time-varying system. Compared to traditional linear control strategy, Fuzzy Controller has better robustness and stability in the changing or non-linear application. Matlab simulation model for current tracking PV Grid-connected Micro-inverter was completed based on the Fuzzy self-tuning PI controller and the control strategy was tested on the micro-inverter prototype. The resu1ts show that this control strategy can effectively reduce the tracking error of the net current, and improve the system’s dynamic response.

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