基于T-S模糊模型的网络控制系统鲁棒H∝容错控制

针对同时存在网络时延和数据包丢失的网络环境,研究了执行器故障下一类非线性网络控制系统的鲁棒H_∞容错控制问题。基于不确定T-S模糊模型描述的非线性网络控制系统模型,考虑了更实际、更常见的执行器部分失效情况。通过引入一个积分不等式,获得了此类系统的时滞相关鲁棒稳定性条件,且采用锥补线性化算法给出了此类系统的鲁棒H_∞容错控制器设计方法。仿真算例表明,对于任意容许的不确定性以及执行器故障,所设计的控制器能使系统鲁棒渐近稳定,且具有H_∞范数界。 

T-S fuzzy model-based robust H∞ fault-tolerant control for networked control systems

With the presence of time-delay and loss of packet in the network, the problem of robust H∞ fault-tolerant control system design for a class of nonlinear networked control system (NCS) is investigated. Based on a nolinear NCS model approximated by uncertain T-S fuzzy models, a more practical and general case of actuator failures is considered. By introducing an integral inequality, the robust stability conditions are obtained. The design method of delay-dependent robust H∞ fault tolerant controller is also proposed by employing a cone complementarity linearization algorithm. Simulation results demonstrate that for any allowable uncertainty and actuator failure the proposed controller can makes the system robustly asymptotically stable with a H∞ norm bound.