Title :
The Software of Auto-Tuning Parameters of PID Controller Based on Fuzzy Genetic Algorithm
Author :
Fei Jingzhou ; Ma Xiuzhen ; Shi Yong
Author_Institution :
Coll. of Power & Energy Eng., Harbin Eng. Univ., Harbin, China
Abstract :
The software of auto-tuning parameters of PID control is developed for industrial controller. The output response curve of control system is recognized, and the scopes of the controller parameters are given to meet expected control index by fuzzy tuning rules based on pattern recognition. The PID parameters are optimized by means of genetic algorithm based on the optimization function of over-shoot, decay rate and the integrated time and absolute error indicators of the system response. The tuning software is used in the semi-physical simulation system of steam power plant, and the result of performance shows that the tuning algorithm is effective and the software can be use in industrial PID controller.
Keywords :
control engineering computing; fuzzy set theory; genetic algorithms; industrial control; power engineering computing; power station control; steam power stations; three-term control; time-varying systems; PID parameters; absolute error indicators; auto tuning parameters software; fuzzy genetic algorithm; fuzzy tuning rules; industrial PID controller; optimization function; output response curve; pattern recognition; semiphysical simulation system; steam power plant; tuning software; Aerospace electronics; Gallium; Indexes; Optimization; Pattern recognition; Software; Tuning;
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
DOI :
10.1109/CISE.2010.5677274
