DocumentCode
2636036
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
fYear
2008
fDate
10-12 Dec. 2008
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISSCAA.2008.4776160
Filename
4776160
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