考虑一类非线性不确定系统的变论域模糊预测控制问题.根据跟踪误差在线调整伸缩因子,使变论域模糊系统一致逼近被控对象中的未知干扰和不确定因素.通过引入鲁棒自适应控制器,消除了模糊建模误差,提高了系统的动态性能.基于泰勒展开的非线性预测控制律,避免了繁重的计算负担.基于Lyapunov理论,给出了伸缩因子的口调整律,并证明了闭环系统一致最终有界.最后,将该算法用于空天飞行器(ASV)姿态控制系统的设计,仿真结果表明了该算法的有效性.
The design of variable universe fuzzy predictive control law to a class of uncertain nonlinear systems is considered. According to the tracking error, the contraction and expansion factor of variable universe fuzzy controller are tuned on-line, so the disturbances and uncertainties are estimated by the fuzzy system. Robust controller is constructed to attenuate fuzzy approximation errors and enhance the whole system performance. Based on Taylor equation, the adaptive predictive control law is achieved, the huge calculation burden of predictive control can be avoided. By using Lyapunov theory, the a adjusting law of the contraction and expansion factor is given, and it has been proven that the closed-loop is uniformly ultimately bounded. Finally, the flight control system of aerospace vehicle under hypersonic condition is designed by using the proposed method. The results show the fine performance of the method.