一类不确定非线性系统主动容错控制

针对一类不确定非线性系统,提出一种新的主动容错控制策略。该策略可以根据系统的运行状态实现切换控制,当系统无故障时,系统切换至常规状态反馈控制,保证系统稳定的同时且具有一定的鲁棒性能;当系统发生故障时,切换至主动容错控制,利用RBF神经网络在线逼近故障模型,同样保证系统鲁棒渐近稳定性。仿真示例表明,系统对不确定性具有较好的鲁棒性,同时对故障可以进行较好的重构,从而验证了设计方法的有效性。

Active fault-tolerant control for a class of uncertain nonlinear systems

The new active fault-tolerant control for a class of uncertain nonlinear system is proposed in the pa-per. The strategy can realize the switching control according to the operation state of the system. A norminal state-feedback controller is designed,which guarantees that the system without faults is stable and robust. In the presence of unknown faults,the fault module is recognized by RBF neural network,and at the same time the system is switched to the active fault-tolerant controller,which also guarantees that the system is robust as-ymptotically stable. Simulation experiment shows that it is robust to model uncertainties and relatively more able reconstruct to the fault. Simulation results show that the proposed method is effective.