Title :
Fuzzy Immune Adaptive Smith-PID Control for Water Quality Adjusting System of Thermal Power Plant
Author :
Peng Shu-Hua ; Hao Cui ; Li Deng-Hua
Author_Institution :
Autom. Sch., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
Water quality adjusting system of thermal power plant is a large time-delay and time-varying controlled object. The control quality of the Fuzzy immune adaptive control and conventional Smith control is not satisfied. In order to solve the time-delay and time-varying problem, a fuzzy immune adaptive Smith-PID controller is presented. The controller combines biological immune system and fuzzy inference with Smith prediction controller. Fuzzy immune P regulator was used to setting the proportional gain of the PID controller in real-time. Fuzzy controller was used to setting the integration time constant and the differential time constant. And Smith controller was used to predict the time-delay. Simulation results showed that this control algorithm have the advantages of short settling time, strong stability, strong noise immunity.
Keywords :
adaptive control; artificial immune systems; controllers; fuzzy control; fuzzy reasoning; thermal power stations; three-term control; time-varying systems; water quality; Smith prediction controller; biological immune system; differential time constant; fuzzy controller; fuzzy immune P regulator; fuzzy immune adaptive smith-PID control; fuzzy inference; integration time constant; thermal power plant; time delay; time varying controlled object; water quality adjusting system; Adaptive control; Biological control systems; Control systems; Fuzzy control; Fuzzy sets; Fuzzy systems; Immune system; Power generation; Programmable control; Time varying systems;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473245