Journal
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
Volume 21, Issue 3, Pages 769-781Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s40815-018-0576-2
Keywords
Adaptive fuzzy PID controller; Geostationary satellite attitude control; Single-input fuzzy inference engine; Preferential fuzzy inference engine; Sliding mode-based adaptation mechanism
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In this paper, a novel adaptive fuzzy proportional-integral-derivative (AFPID) controller is designed for geostationary satellite attitude control. In order to design the AFPID controller, first a fuzzy PID (FPID) controller is proposed in which two fuzzy inference engines are used: single-input fuzzy inference engine (SIFIE) and preferential fuzzy inference engine (PFIE). SIFIE has only one input which means a separate SIFIE is assigned to each state variable, and on the other side, PFIE represents the control priority order of each state variable. Consequently, control gains of FPID controller will be adjusted and updated with a sliding mode-based adaptation mechanism. As a result, via numerical simulations, objectives of the AFPID controller in terms of faster convergence time and higher performance are achieved.
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