A feedback control gain tuning for mechatronic systems by iterative trials

Author

Ozaki, Hiroaki ; Shimogawa, Tetsuji ; Lin, Chang-Jun

Author_Institution

Dept. of Mech. Eng., Fukuoka Univ., Japan

Volume

4

fYear

2001

fDate

2001

Firstpage

1894

Abstract

A feedback gain tuning method is proposed to control mechatronic systems which have the characteristic applicable to iterative trial movements. The tuning algorithm is composed of an optimization procedure based on the complex method and has the following features: (1) it does not require any dynamic model of controlled systems; (2) it tunes the feedback gain under an arbitrary performance index and is applicable to both linear and nonlinear control laws; (3) the algorithm is concise and has a few adjusting parameters; and (4) the tuning process proceeds well and the on-site tuning for actual systems is possible. It is also confirmed by the experiments using both simulations and actual systems that the proposed tuning method is effective to the stabilization control of an inverted pendulum

Keywords

feedback; iterative methods; mechatronics; optimisation; pendulums; performance index; stability; tuning; feedback gain control; inverted pendulum; iterative trials; mechatronic systems; optimization; performance index; stability; stabilization; tuning algorithm; Control system synthesis; Control systems; Feedback control; Iterative algorithms; Iterative methods; Linear feedback control systems; Mechatronics; Nonlinear control systems; Optimization methods; Performance gain;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ International Conference on

Conference_Location

Maui, HI

Print_ISBN

0-7803-6612-3

Type

conf

DOI

10.1109/IROS.2001.976350

Filename

976350