Self-Tuning of the PID Controller for a Digital Excitation Control System

2010 ◽  
Vol 46 (4) ◽  
pp. 1518-1524 ◽  
Author(s):  
Kiyong Kim ◽  
Pranesh Rao ◽  
Jeffrey A Burnworth
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Excitation Control ◽  
Self Tuning ◽  
Digital Excitation

Research on Fuzzy Pid Control System of Temperatuer for Tertiary Air

2013 ◽  
Vol 341-342 ◽  
pp. 892-895
Author(s):  
Jun Chao Zhang ◽  
Shao Hong Jing
Keyword(s):  
Control System ◽  
Control Theory ◽  
Pid Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Effective Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning

The introduction of the AQC boiler has complex effects on the temperature of Tertiary air, traditional PID is difficult to achieve the effective control. Combined the method of the conventional PID with the fuzzy control theory, a fuzzy self-tuning PID controller is designed. Compared with traditional PID, results of simulation show that the fuzzy PID controller improves not only the adaptability and robustness of the system, but also the system's static and dynamic performance.

On the Control System for Blank-Holder Force in Deep Drawing Based on Self-Tuning Fuzzy-PID Controller

2010 ◽  
Vol 97-101 ◽  
pp. 2995-3000
Author(s):  
Chun Ping Cao ◽  
Yu Sun
Keyword(s):  
Control System ◽  
Steady State ◽  
Dynamic Response ◽  
Pid Controller ◽  
Hydraulic Press ◽  
Fuzzy Pid ◽  
Blank Holder Force ◽  
Blank Holder ◽  
Fuzzy Pid Controller ◽  
Self Tuning

Blank-holder Force (BHF) control technology is an important guarantee for the quality of parts forming. Taking YJ28E—1000/1600Q hydraulic press as object, a hydraulic fuzzy control model based on self-tuning fuzzy-PID is built to deal with the undesirable dynamic response and the low steady-state precision of the hydraulic control system. The look-up table for optimal control parameters is generated from MATLAB Toolbox. A simulation study of the system shows that the dynamic response and steady-state precision is improved greatly by adopting this kind of self-adaptive fuzzy-PID controller.

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