一类含有传感器故障的网络化系统容错估计

针对一类具有传感器故障的闭环网络化系统,推导了一种新的容错估计方法。闭环网络化系统意味着在传感器到估计器信道和控制器到执行器信道中,都可能存在由网络引起的随机延迟和数据包丢失。由两组随机变量单独驱动的指示函数用来表征两个通道中网络化所产生的影响。在考虑存在传感器故障的情况下,设计状态估计器。为处理闭环网络化系统中存在的传感器故障,开发了一种无偏最小方差容错估计器。最后,在一个实际的网络化永磁同步电机驱动系统上进行的仿真,验证了所提方法的可行性和有效性。

Fault tolerant estimation for a class of networked systems with sensor faults

A new approach to fault tolerant estimation problem was derived for a class of closed-loop networked systems with sensor faults. Closed-loop networked systems implied that there could be network-induced phenomena of random delays and packet dropouts in both the sensor-to-estimator(S-E)channel and the controller-to-actuator(C-A)channel. An indicator function driven individually by two groups of random variables was introduced to characterize the network-induced phenomena in both channels. Then, sensor faults were considered in the estimator design process. A kind of fault tolerant estimator was developed in the unbiased minimum variance sense in order to deal with sensor faults in networked systems with closed loop. Simulations were carried out on a practical networked permanent magnet synchronous motor driving system to test the feasibility and effectiveness of the proposed techniques.