This paper presents a robust-optimal fuzzy controller for position and attitude stabilization and vibration suppression of a flexible spacecraft during antenna retargeting maneuver. The fuzzy controller is based on Takagi–Sugeno (T–S) fuzzy model and uses the parallel distributed compensator (PDC) technique to quadratically stabilize the closed-loop system. The proposed controller is robust to parameter and unstructured uncertainties of the model. We improve the performance and the efficiency of the controller by minimizing the upper bound of the actuator's amplitude and maximizing the uncertainties terms included in the T–S fuzzy model. In addition to actuator amplitude constraint, a fuzzy model-based observer is considered for estimating unmeasurable states. Using Lyapunov stability theory and linear matrix inequalities (LMIs), we formulate the problem of designing an optimal-robust fuzzy controller/observer with actuator amplitude constraint as a convex optimization problem. Numerical simulation is provided to demonstrate and compare the stability, performance, and robustness of the proposed fuzzy controller with a baseline nonlinear controller.
Robust-Optimal Fuzzy Model-Based Control of Flexible Spacecraft With Actuator Constraint
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received August 1, 2015; final manuscript received March 28, 2016; published online May 30, 2016. Assoc. Editor: Ming Xin.
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Sendi, C., and Ayoubi, M. A. (May 30, 2016). "Robust-Optimal Fuzzy Model-Based Control of Flexible Spacecraft With Actuator Constraint." ASME. J. Dyn. Sys., Meas., Control. September 2016; 138(9): 091004. https://doi.org/10.1115/1.4033318
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