基于自适应模糊系统的空天飞行器非线性预测控制

 针对一类多输入多输出非线性不确定系统，提出了基于自适应模糊系统的非线性预测控制方法。控制器由基于模糊系统的非线性预测控制器和鲁棒自适应控制器两个部分组成。根据系统的跟踪误差在线调整模糊系统的权值，使得模糊系统一致逼近被控对象中的非线性函数，通过泰勒展开设计出基于模糊系统的非线性预测控制律，避免了预测控制在线优化带来的繁重的计算负担。鲁棒自适应控制器则用于减少不确定和模糊逼近误差对系统的影响。所设计的控制器保证了闭环系统的最终一致有界稳定。基于Lyapunov稳定原理，给出了理论证明和分析。最后利用提出的控制方案设计了空天飞行器高超声速飞行姿态的控制系统，仿真结果表明了控制方案的有效性。

Nonlinear Predictive Control of an Aerospace Vehicle Based on Adaptive Fuzzy Systems

This article investigates the design of an adaptive fuzzy predictive control law to uncertain nonlinear systems.The controller consists of two parts: an nonlinear predictive controller which is based on fuzzy system,and a robust adaptive controller.According to the tracking error,the adaptive fuzzy controller is constructed to approximate the uncertain nonlinear systems,and the weight parameters of fuzzy system change on-line.Based on Taylor equation,the fuzzy adaptive predictive control law is achieved,and because on-line optimization is not required,the huge calculation burden of predictive control can be avoided.The robust controller is used to attenuate the effects of external disturbance and approximation errors of fuzzy systems.Using Lyapunov theory,it is proven that the overall system is uniformly ultimately bounded.Finally,the flight control system of aerospace vehicle under hypersonic condition is designed by the proposed method.Simulation results demonstrate the effectiveness of the method.