CAJ | 학술논문

针对一类离散线性时变系统的故障诊断问题,提出一种新的故障检测与估计算法.该算法通过引入虚拟故障构建离散故障跟踪估计器,在选取的优化时域内,利用估计器输出和系统实际输出产生的残差信号,采用迭代学习算法来调节虚拟故障,使虚拟故障逼近系统中实际发生的故障,从而达到对系统故障诊断的目的.该方法不仅能检测出系统不同类型的故障,还可以实现对故障信号的精确估计.仿真结果验证了所提出方法的有效性.
침대일류리산선성시변계통적고장진단문제,제출일충신적고장검측여고계산법.해산법통과인입허의고장구건리산고장근종고계기,재선취적우화시역내,이용고계기수출화계통실제수출산생적잔차신호,채용질대학습산법래조절허의고장,사허의고장핍근계통중실제발생적고장,종이체도대계통고장진단적목적.해방법불부능검측출계통불동류형적고장,환가이실현대고장신호적정학고계.방진결과험증료소제출방법적유효성.
Aiming at the fault diagnosis in a class of discrete linear time-varying system, a novel fault detection and estimation algorithm is proposed. This algorithm uses an introduced virtual fault to construct a discrete fault tracking estimator, and then uses the iterative learning algorithm to regulate the virtue fault close to the practical fault based on the difference between outputs of the estimator and the practical system within the chosen optimization time, thereby reaching the end of the fault diagnosis. This algorithm not only can detect the different-type fault of the system, but also can estimate the fault signal accurately. Simulation results show the effectiveness of this algorithm.