Parameters Optimization Method for Human-Simulated Intelligent Controller Based on Immune Theory

Author

Qin, Renchao

Author_Institution

Sch. of Comput. Sci. & Technol., Southwest Univ. of Sci. & Technol., Mianyang, China

Volume

3

fYear

2009

fDate

21-22 Nov. 2009

Firstpage

79

Lastpage

82

Abstract

To solve the problems of parametric optimization for human simulated intelligent controller (HSIC) in complicated controlled plant. Inspired by biology immune system, the paper presents a novel parameter optimization method for HSIC based on immune theory, which is termed as IHSIC. Firstly, the design process of HSIC controller have been discussed, secondly, antibody, antigen and affinity of the parameter optimization problem were defined, then, the process of parameter tuning based on immune principles was discussed in detail. The simulation experiments show that the control effect of IHSIC is much better than proportional-integral-derivative (PID) controller, and it is suitable to solve the puzzle of complicated controlled plant.

Keywords

artificial immune systems; control system synthesis; intelligent control; large-scale systems; IHSIC; affinity; antibody; antigen; biology immune system; complicated controlled plant; human-simulated intelligent controller design; parameter tuning process; parameters optimization method; Biological system modeling; Design optimization; Humans; Immune system; Optimization methods; Pi control; Process control; Process design; Proportional control; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-0-7695-3859-4

Type

conf

DOI

10.1109/IITA.2009.428

Filename

5369549