Title :
Design and application of PID controller based improved artificial immune algorithm
Author :
Qiang, Wang ; Renbo, Wang ; Chen Jun
Author_Institution :
Coll. of Electron. & Mech., East China Univ. of Technol., Jiangxi
Abstract :
Based on the elitism strategy and the new definitions of antibody similarity, expected reproduction probability, and selection probability, an improved artificial immune algorithm with the elitism strategy (AIAE) was presented. AIAE can not only find the globally optimal solution by elitism strategy, but also regulate the similarity and expected reproduction probability dynamically, to balance the diversity of population and the algorithm convergence speed in the evolutionary process of antibody population. Based on AIAE, a novel PID controller (AIAE-PID) was designed for speed control on induction motor with compensation of stator. Simulation experiments demonstrate that AIAE-PID is able to control AC motor effectively. Compared with other two PID controller designed by the standard genetic algorithm and the canonical simulated annealing algorithm respectively, the AIAE-PID controller exhibits better or equivalent control performance.
Keywords :
angular velocity control; artificial immune systems; control system synthesis; induction motors; machine control; stators; three-term control; AIAE-PID control; PID controller; algorithm convergence; antibody similarity; elitism strategy; globally optimal solution; improved artificial immune algorithm; induction motor; population; reproduction probability; selection probability; speed control; stator compensation; Algorithm design and analysis; Control systems; Educational institutions; Euclidean distance; Induction motors; Optimal control; Power supplies; Stators; Three-term control; Velocity control; AC speed control system; AIAE; Evolutionary algorithm; Optimal control; PID controller;
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-3908-9
Electronic_ISBN :
978-1-4244-2386-6
DOI :
10.1109/ISSCAA.2008.4776160