使用低阶参考模型的离散多变量MRACS

本文提出了一种高阶被控对象跟随低阶参考模型的离散多变量模型参考自适应控制系统(MRACS)的设计方法,它利用数字滤波器将系统降阶,通过求解p个一次代数方程而确定的自适应控制输入信号,能够使多变量被控对象的每个多输入单输出(MISO)子系统的输出渐近收敛到对应的单输入单输出(SISO)低阶参考模型的输出,提出的自适应控制器不仅避免了引进正反馈和辅助信号,而且实现了自适应解耦控制,仿真结果表明该控制器具有较好的控制性能。

A Method of Discrete-time Multivariable MRACS Using the Lower Reference Model

This paper presents a method of discrete-time multivariable MRACS making the higher order controlled plant to follow the lower order reference model. It reduces the order of the control system by vising the digital filters. The adaptive control input signals obtained by solving p sets of first-order algebraic equations can enable each MISO system of the plant to converge asymptotically to the output of the corresponding SISO reference model. The adaptive controller proposed not only avoids the introduction of die positive feedback and the auxiliary signal,but also is possible to realize adaptive decoupling control. Simulation results indicate that the controller has better control perfermences.