Paper:
Language: English:

Particle Swarm Optimization for Jump Height Maximization of a Serial Link Robot

Takeshi Matsui^, Masatoshi Sakawa^, Takeshi Uno^, Kosuke Kato^,
Mitsuru Higashimori^, and Makoto Kaneko^

^*Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashihiroshima-shi 739-8527, Japan
^**Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita-shi 565-0871, Japan

Received: March 15, 2007

Accepted: May 23, 2007

Keywords: serial link robot, jump height maximization, nonlinear programming, particle swarm optimization

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.8 pp. 956-963, 2007

Abstract

In this paper, we focus on the maximization of the height of jump of a serial link robot. The jump height maximization problem is formulated as a nonlinear programming problem, where torque patterns to drive joints in the robot are decision variables and the objective function is an implicit function whose value is obtained as an output of a simulator. As a previous reasearch, an approximate solution method using a genetic algorithm was proposed. In the research, some interesting joint drive torque patterns were found by the method, but it costed much time to obtain a drive torque pattern. In order to shorten the computational time, in this paper, we propose a new solution method using a particle swarm optimization (PSO) technique.

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