DocumentCode
554134
Title
Notice of Retraction
A new Variable Arguments PID controller based on improved Immune Algorithm
Author
HaiPeng Pan ; Wanhui Wang ; Liang Xiao
Author_Institution
Inst. of Autom., Zhejiang Sci-Tech Univ., Hangzhou, China
Volume
3
fYear
2011
fDate
26-28 July 2011
Firstpage
1780
Lastpage
1784
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Aiming at engineering application, parameter selection in conventional PID control of a typical nonlinear plant with time-varying large delay in the complex production technology is a difficult optimization problem, and the Genetic Algorithm(GA) tends to fall into local optimum, the paper put forward a new optimal control strategy of Variable Arguments PID controller. In order to overcome the shortage of the traditional Immune Algorithm and Genetic Algorithm, get a better performance for the variable arguments PID control, this paper, aims to improve several special formulas, such as antibody fitness, expected reproduction probability and selected probability, presents an improved Artificial Immune Algorithm with the elitism reservation and elitism crossover strategy(AIAE). Both computer simulation and field application in nonlinear system with large time delay show that, the variable arguments PID controller based on AIAE has a quite good disturbance resistance and a strong robustness.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Aiming at engineering application, parameter selection in conventional PID control of a typical nonlinear plant with time-varying large delay in the complex production technology is a difficult optimization problem, and the Genetic Algorithm(GA) tends to fall into local optimum, the paper put forward a new optimal control strategy of Variable Arguments PID controller. In order to overcome the shortage of the traditional Immune Algorithm and Genetic Algorithm, get a better performance for the variable arguments PID control, this paper, aims to improve several special formulas, such as antibody fitness, expected reproduction probability and selected probability, presents an improved Artificial Immune Algorithm with the elitism reservation and elitism crossover strategy(AIAE). Both computer simulation and field application in nonlinear system with large time delay show that, the variable arguments PID controller based on AIAE has a quite good disturbance resistance and a strong robustness.
Keywords
artificial immune systems; delays; genetic algorithms; nonlinear control systems; optimal control; probability; three-term control; time-varying systems; variable structure systems; AIAE; antibody fitness; complex production technology; computer simulation; elitism crossover strategy; elitism reservation; expected reproduction probability; field application; genetic algorithm; improved artificial immune algorithm; nonlinear plant; nonlinear system; optimal control strategy; optimization problem; parameter selection; selected probability; time-varying large delay; variable arguments PID controller; Algorithm design and analysis; Control systems; Genetic algorithms; Immune system; Interference; Nonlinear systems; Optimization; Artificial Immune Algorithm; Genetic Algorithm; variable arguments PID control;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022336
Filename
6022336
Link To Document