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提出一种可有效检测和估计一类非线性时滞系统故障的故障跟踪估计器.根据预测控制和迭代学习控制的思想,在所选取的优化时域长度内,通过迭代算法调节故障跟踪估计器中的可调参数,使之逼近系统中实际发生的故障.与以往基于观测器的故障诊断方法不同的是,故障跟踪估计器可同时检测和估计系统中发生的故障,而且针对不同类型的故障亦有很好的适应性.仿真结果表明了所提出算法的可行性和有效性.
A fault tracking estimator that can effectively detect and estimate a class of nonlinear time-delay system faults is proposed.According to the concepts of predictive control and iterative learning control, the fault-track estimator Which can make it approximate the actual fault occurred in the system.Compared with the traditional observer-based fault diagnosis method, the fault-tracking estimator can detect and estimate the faults in the system at the same time, and for different types of faults But also has good adaptability.The simulation results show the feasibility and effectiveness of the proposed algorithm.