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