Robust attitude control of spacecraft using sliding mode control and productive networks

J. C. Chiou, M. C. Hwang, S. D. Wuf, J. Y. Yang

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

A new robust attitude control design of spacecraft is proposed by combining sliding mode control (SMC) and productive networks (PN). Essentially, the sliding mode control uses discontinuous control action to drive state trajectories toward a specific hyperplane in the state space, and to maintain the state trajectories sliding on the specific hyperplane. This principle provides a guideline to design a robust controller. Productive networks, which are a special type of artificial neural network, are then used to implement reaching and sliding conditions, and tackle the drawbacks of SMC such as chattering and high control gains. Attractive features of the proposed method include a systematic procedure of controller design, a reduction in chattering, robustness against model uncertainties and external disturbances. An inverted pendulum and a spacecraft attitude control problem are given to deomonstrate the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)435-446
Number of pages12
JournalInternational Journal of Systems Science
Volume28
Issue number5
DOIs
Publication statusPublished - 1997 May
Externally publishedYes

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

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