空天飞行器的自适应变论域模糊预测控制  

Adaptive variable universe fuzzy predictive control for aerospace vehicle

作　　者：方炜[1] 姜长生[1] 

机构地区：[1]南京航空航天大学自动化学院,南京210016

出　　处：《控制与决策》2008年第12期1373-1377,1388,共6页Control and Decision

基　　金：国家自然科学基金项目(90405011)

摘　　要：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σ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.

关 键 词：非线性不确定系统 预测控制 变论域模糊系统 鲁棒自适应控制器 空天飞行器 

分 类 号：V294.1[航空宇航科学技术] TP293.2[自动化与计算机技术—检测技术与自动化装置]