一类无线广义网络控制系统的迭代学习控制

Iterative Learning Control for a Class of Wireless Generalized Networked Control System

广义系统广泛存在于工业控制系统模型;针对传感器至控制器通过无线网络连接的一类广义网络控制系统,采取迭代学习控制策略,通过卡尔曼滤波减少无线信道噪声对系统控制性能的影响;理论上,通过λ范数给出了系统在给定的学习率下的收敛条件;通过实验仿真验证迭代学习策略中加入卡尔曼滤波的有效性和优越性。

Generalized system exists in many industrial control system. The strategy of the iterative learning control for a class of generalized network control system with the sensor to the controller connected via a wireless network is implemented in this paper. Kalman filter is used to reduce the effect on the performance of the system by wireless channel noise. According to the λ norm,the convergence condition of the system with the given study rate is derived. Simulation example shows the effectiveness and superiority of the proposed algorithm.