论文部分内容阅读
针对双容液位控制系统的泄漏等故障,通过线性化建模,研究了鲁棒自适应主动容错控制问题。首先在系统无故障正常运行情形,考虑建模误差和外界干扰等不确定性,利用不确定性上界自适应估计,设计了鲁棒自适应控制器。与此同时,对系统进行故障监控,设计了故障诊断滤波器,并利用对不确定性上界的估计终值提出了一种新的故障检测算法,进一步基于神经网络故障逼近,研究了一种修正控制律的自适应鲁棒容错控制器设计方法,该控制器通过补偿故障所带来的影响使闭环系统最终一致有界稳定。最后,通过仿真试验,验证了提出的方法的有效性。
Aimed at the leakage and other faults of double capacity liquid level control system, the robust adaptive adaptive fault tolerant control problem is studied through linear modeling. First of all, in the normal operation of the system, considering uncertainties such as modeling errors and external disturbances, a robust adaptive controller is designed by using adaptive upper bound uncertainty estimation. At the same time, the fault monitoring system is designed and the fault diagnosis filter is designed. Based on the estimation of the upper bound of uncertainty, a new fault detection algorithm is proposed. Based on the fault approximation of neural network, An adaptive robust fault-tolerant controller design method is proposed to correct the control law. The controller stabilizes the closed-loop system uniformly by compensating the influence of the fault. Finally, the simulation results verify the effectiveness of the proposed method.