Short Communication: Feedback linearization control of a two-link robot using a multi-crossover genetic algorithm

  • Authors:
  • Jian Liung Chen;Wei-Der Chang

  • Affiliations:
  • Department of Electrical Engineering, Kao Yuan University, Kaohsiung 821, Taiwan;Department of Computer and Communication, Shu-Te University, Kaohsiung 824, Taiwan

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2009

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Abstract

In this paper, we propose a novel multi-crossover genetic algorithm (GA) to identify the system parameters of a two-link robot. The resulted system model by the proposed GA is then applied to the feedback linearization control such that the two-link robot system can be transferred to a linear model with a nonlinear bounded time-varying uncertainty. To deal with the uncertainty, a sliding mode control approach is designed to achieve the tracking control. Finally, some simulation results are demonstrated to show the utility of our proposed method.