Chaos Optimization Strategy on Fuzzy-immune-PID Control of the Turbine Governing System

Author

Wang, Shuangxin ; Jiang, Yan ; Yang, Hui

Author_Institution

Sch. of Mech., Electron. & Control Eng., Beijing Jiaotong Univ.

fYear

2006

fDate

9-15 Oct. 2006

Firstpage

1594

Lastpage

1598

Abstract

Aiming at the non-linear links such as time lag, inertia, dead time and saturation within the steam turbine governing system, we designed a fuzzy-immune-PID control system based on a mutative scale chaos optimization method, the principium of immune feedback system and the theory of fuzzy control. The proposed algorithm was used in tuning-parameter design of the steam turbine governing system which can avoid a mass of tuning parameters work in the progress of design and get the best control performance. Simulation results proved that the method is more feasible on the optimization of target value

Keywords

chaos; control nonlinearities; control system synthesis; feedback; fuzzy control; steam turbines; three-term control; fuzzy-immune-PID control; immune feedback system; mutative scale chaos optimization strategy; steam turbine governing system; tuning; Algorithm design and analysis; Chaos; Control systems; Fuzzy control; Nonlinear control systems; Optimal control; Optimization methods; Three-term control; Tuning; Turbines; chaos optimization; fuzzy-immune-PID; mutative scale; steam turbine governing system;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on

Conference_Location

Beijing

Print_ISBN

1-4244-0258-1

Electronic_ISBN

1-4244-0259-X

Type

conf

DOI

10.1109/IROS.2006.282048

Filename

4058602