DocumentCode :
2292005
Title :
Optimize the PID parameters based on improvement of immune algorithm
Author :
Lu, Jin-yun ; Pan, Hai-peng
Author_Institution :
Inst. of Autom., Zhejiang Sci-Tech Univ., Hangzhou, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
1259
Lastpage :
1262
Abstract :
According to the disadvantages of general PID controller parameters optimization methods, this paper presents an improved immune algorithm. Main characteristics of this algorithm is to generate an initial population using homogenization techniques, self-adapt crossover operator and mutation operator. Result of simulation shows that the new method is superior to Z-N optimization algorithm. This method can overcome the premature phenomenon effectively and has good convergence performance and optimizing capacity.
Keywords :
artificial immune systems; convergence; parameter estimation; three-term control; PID controller parameter optimization method; convergence performance; homogenization technique; improved immune algorithm; initial population generation; mutation operator; optimizing capacity; self-adapt crossover operator; Automation; Educational institutions; Intelligent control; Optimization methods; Sociology; Statistics; PID control; immune algorithm; parameter optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358074
Filename :
6358074
Link To Document :
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