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首页> 外文期刊>Journal of Dynamic Systems, Measurement, and Control >Robust-Optimal Fuzzy Model-Based Control of Flexible Spacecraft With Actuator Constraint
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Robust-Optimal Fuzzy Model-Based Control of Flexible Spacecraft With Actuator Constraint

机译：具有执行器约束的挠性航天器的鲁棒最优模糊模型控制

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摘要

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.
机译：本文提出了一种鲁棒最优的模糊控制器，用于在天线重新定向机动过程中对挠性航天器进行位置和姿态稳定以及振动抑制。模糊控制器基于Takagi-Sugeno（T-S）模糊模型，并使用并行分布式补偿器（PDC）技术二次稳定闭环系统。所提出的控制器对于模型的参数和非结构不确定性具有鲁棒性。通过最小化执行器振幅的上限并最大化T-S模糊模型中包含的不确定性项，我们提高了控制器的性能和效率。除了执行器振幅约束之外，还考虑使用基于模糊模型的观察器来估计不可测量的状态。利用Lyapunov稳定性理论和线性矩阵不等式（LMI），我们提出了将具有执行器振幅约束的最优鲁棒模糊控制器/观测器设计为凸优化问题的问题。提供了数值模拟，以演示和比较所提出的模糊控制器与基线非线性控制器的稳定性，性能和鲁棒性。

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