A General Parameters Optimization Method for Human-Simulated Intelligent Controller and its Application Research

Author

Zhang, Hua ; Li, Zushu ; Gu, Jiangong ; Chen, Guiqiang ; Dan, Yuanhong

Author_Institution

Inst. of Intelligent Autom., Chongqing Univ.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9089

Lastpage

9093

Abstract

Take the handstand-stabilization-control problem of cart-double-pendulum system (CDPS) as an example, this paper detailed a general control parameters optimization and system implementation method for human-simulated intelligent controller. Firstly, the physical and dynamic models of CDPS were analyzed, and then the research platform for the controller of CDPS is also built. Next, the parameters optimization method based on improved genetic algorithm (IGA) for human-simulated controller was introduced in detail, and the effectiveness of parameters optimization method was testified by simulation and experiments. In the end, the conclusion is summarized

Keywords

genetic algorithms; intelligent control; nonlinear control systems; pendulums; stability; cart double pendulum system; control parameter optimization; genetic algorithm; handstand stabilization control; human-simulated intelligent controller; swing-up control; Artificial intelligence; Automatic control; Automation; Control systems; Genetic algorithms; Intelligent control; Optimization methods; Testing; Cart-double- pendulum system (CDPS); Human-Simulated Intelligent Control (HSIC); Improved Genetic Algorithm (IGA); Swing-up and handstand control; parameter optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713758

Filename

1713758