A Self-Tuning Hybrid Fuzzy-PID Controller for First Order Hydraulic Systems

Author(s):  
J. Jithish ◽  
K.S. Arun Nath ◽  
Deepa Sivan ◽  
Biju C. Oommen
2004 ◽  
Vol 471-472 ◽  
pp. 264-268 ◽  
Author(s):  
Da Wei Zhang ◽  
Yan Ling Tian ◽  
Bing Yan

In order to eliminate the non-linearity of a grinding auxiliary workpiece table, a hybrid fuzzy PID controller has been developed. The two-dimensional fuzzy control with self-tuning factor is utilized to improve the performance. The Max-Min inference mechanism and COG defuzzification method are used to obtain the crisp output of the fuzzy controller. To eliminate the oscillation at balance position, the conventional PID controller is used in the small range of the error and the switch between two controllers can automatically realize according the preset value. Simulation and experimental testing have been carried out to validate the performance of the hybrid fuzzy PID controller.


2012 ◽  
Vol 214 ◽  
pp. 765-770
Author(s):  
Lan Sun

Because of the existing hybrid fuzzy PID controller does not perform, using electric hydraulic servo system application (SEHS). Therefore, when the system parameters change will require a new adjustment of PID controller variable. Therefore, a hybrid fuzzy and fuzzy self-tuning PID control was put forward. With this control scheme was divided into two parts, and the fuzzy controller and fuzzy self-tuning PID controller. Fuzzy controller is used to control the output of the system of the values of the system away from target value. We proved that the performance of the control scheme through the experiment of the motor speed control SEHS. The experimental results show that the proposed a hybrid fuzzy PID controller and fuzzy self-tuning effect is better than that of a hybrid fuzzy and PID controller.


2015 ◽  
Vol 3 (1) ◽  
pp. 7-15
Author(s):  
Hakan Açıkgöz ◽  
Ö. Fatih Keçecioğlu ◽  
Mahit Güneş ◽  
Mustafa Şekkeli

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