用于卫星姿态机动控制的一种自适应模糊控制器

卫星的姿态机动控制要求机动快速和较强鲁棒性．纯模糊控制器响应快、鲁棒性好,能够方便地应用人的智能,但是模糊规则库的构建需要预先获取足够的语言信息．从Lyapunov函数出发设计了一个稳定的直接型自适应模糊姿态机动控制系统,控制器能够在初始语言信息很少的条件下通过自适应律调整语言信息参数而得到合适的模糊规则,使控制器具有更强的适应能力．数学仿真比较了在完全没有语言信息和有一条语言信息的情况下控制系统的表现,表明仅有一条语言信息时控制系统性能就能够显示得十分出色．最后,仿真结果证实了自适应模糊控制器良好的鲁棒性.

An Adaptive Fuzzy Controller for Satellite Maneuver Control

An adaptive fuzzy controller for Satellite Maneuver Control (SMC) is outlined. The typical fuzzy controller has a quick transient response and a very good robustness quality, and can easily incorporate human expert knowledge in the form of fuzzy rule "intelligence". But to construct the fuzzy rule base we must hold enough expert knowledge in advance, sometimes it's a difficult work. So the adaptive method is incorporated into the fuzzy control system, thus by adjusting the parameters of the fuzzy system, a proper fuzzy rule base can be got. And because the analysis is based on the Lyapunov function, the system is insured to be stable. Comparison of the system's performances with no language information and with only one language information is given, shows that with only one language information the system can reach a very high quality. Finally, simulation results substantiate the robustness quality of the adaptive fuzzy control system.