Self-tuning fuzzy PI controller for integrating and non-linear processes

2014 ◽  
Author(s):  
Dharmana Simhachalam ◽  
Rajani K. Mudi
Keyword(s):  
Pi Controller ◽  
Linear Processes ◽  
Non Linear ◽  
Self Tuning ◽  
Fuzzy Pi Controller

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.

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.

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.

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