论文部分内容阅读
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.
Considering the variable-domain fuzzy predictive control problem for a class of nonlinear uncertain systems, the scaling factor is adjusted online according to the tracking error to make the variable-domain fuzzy system unanimously approximate the unknown disturbances and uncertainties in the controlled object. By introducing robust self Adaptive controller to eliminate the fuzzy modeling error and improve the dynamic performance of the system.Tax-based nonlinear predictive control law, to avoid the heavy computational burden.Based on Lyapunov theory, the scaling law of the scaling factor is given and It is proved that the closed-loop system is uniform and ultimately bounded. Finally, the algorithm is applied to the design of ASV attitude control system. The simulation results show the effectiveness of the algorithm.