Title :
Application of fuzzy PID control system based on improved GA in hydraulic turbine generating units
Author :
Liu, Hui ; Zhou, Jianzhong ; Wang, Shuqing ; Zhang, Zipeng
Abstract :
Water turbine generating units system is a complicated system and it is difficult for PID controller or fuzzy controller to meet the control demand. In order to overcome the shortcoming of the conventional hydraulic turbine PID governor, a new self-tuning fuzzy PID control method based on improved Genetic algorithms is proposed. The output of fuzzy reasoning can adjust PID parameter in the process of control. The improved Genetic algorithms are used to optimize the parameters and rules of fuzzy reasoning system. Simulation results show that the designed controller is better then traditional control strategy, which has good dynamic character and stabilization when system changes.
Keywords :
adaptive control; fuzzy control; fuzzy reasoning; genetic algorithms; hydraulic turbines; hydroelectric generators; self-adjusting systems; three-term control; PID parameter; fuzzy reasoning system; genetic algorithm; hydraulic turbine generating unit; self-tuning fuzzy PID control method; water turbine generating units system; Automation; Control systems; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Genetic algorithms; Hydraulic turbines; Intelligent control; Three-term control; Genetic algorithm; fuzzy PID control; improving to optimizing algorithm; water turbine generating units;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4594143