Hybrid EDA-based optimal attitude control for a spacecraft in a class of control task

  • Authors:

  • Xiong Luo;Zengqi Sun;Xiang Zhang;Laihong Hu;Chao Wang

  • Affiliations:

  • School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, Beijing, China;Tsinghua University, Beijing 100084, Beijing, China;Yangtze University, Jingzhou 434023, Jingzhou, China;Tsinghua University, Beijing 100084, Beijing, China;School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, Beijing, China

  • Venue:
  • Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
  • Year:
  • 2009

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Abstract

In the practical situation, if failure of one of the actuators occurs, there exists the attitude control task of a rigid spacecraft using only two control torques supplied by momentum wheel actuators. Here, this class of control task for a rigid spacecraft is discussed. This nonlinear control problem can be converted to the nonholonomic motion planning optimization problem of a drift-free system. In order to improve the search efficiency of current optimization algorithms, the hybrid estimation of distribution algorithm (EDA) is presented by combing the idea of differential evolution strategy (DES). Then, the optimal attitude control task for the spacecraft using two momentum wheel actuators is achieved. By comparing the proposed algorithm with existing genetic algorithm and evolutionary programming, the simulation results show the accuracy and efficiency of hybrid EDA.