Title :
PI-tuning methods based on GA
Author_Institution :
Coll. of Comput. Sci. & Technol., Yan Tai Univ., Yantai, China
Abstract :
This paper presents comparison studies of conventional and evolutionary tuning methods for a PI and fuzzy PI controller. Genetic algorithms (GA) are employed as the evolutionary tuning method. These PI-controller tuning methods are based on novel closed loop performance statements and the closed loop stability. The control objective is flow regulation using a laboratory flow rig, which mimics a real industrial process.
Keywords :
closed loop systems; fuzzy control; genetic algorithms; process control; stability; transient response; tuning; two-term control; PI controller; closed loop systems; evolutionary tuning; fuzzy control; genetic algorithm; industrial process; overshoot; stability; Biological cells; Fuzzy control; Genetic algorithms; Industrial control; Laboratories; Pi control; Process control; Three-term control; Transfer functions; Valves;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1176816
