Realization of Actuator‐Fault Estimation for Distributed Wireless Networked Control Systems

Abstract

This paper addresses a study of fault estimation for distributed wireless networked control systems (WNCSs) with actuator multiple faults during industrial automatic processes. Firstly, the model of WNCSs is formulated as linear time periodic systems (LTPSs) according to the periodicity of subsystems in WNCSs. Afterwards, the distributed fault estimation (FE) method for LTPSs is concerned. The strategy of avoiding the problem of structure‐limitation in the FE gain and the realization of the proposed method in the real process are especially detailed. Finally, the proposed FE method is verified on a wireless network control (WiNC) platform.

Model‐based fault diagnosis of networked systems: A survey

“…H∞ filtering and LMI Fading measurements [11,23] Quantization effects [74] Stochastic additive faults [15,28] Medium access constraints [14] Unknown transition probability [75] Comprehensive incomplete measurements [12,13,25,26] EM algorithm under the Bayesian framework Asynchronous measurements in distributed systems [54] Residual generating based on fault diagnosis filters and observers Additive faults & incomplete measurements [7,8,17,24,27,31,32,46,47] Attacks on sensors [73] Soft faults & packet dropouts [48] Actuator faults [42,45] Faulty periodic communication [30] Cyber attacks [39,76] Sliding mode observer Attacks on sensors [72] Unknown input observer False data injection attacks [35] Minimum-variance filtering and Kalman filtering Cyber attacks [20,37,64,70] Additive faults [49] Homomorphic encryption [77] Particle filtering Cyber attacks [41,69] Strong tracking filtering Packet dropouts [78] Distributed resilient filtering Sensor degradation [79] Self-learning approaches Additive sensor fault [71,75,…”

“…For sensor networks of a T‐S fuzzy system, a distributed H ∞ filter for fault detection was proposed in [26], which took processing data from various sources into consideration. Linear time‐periodic systems with wireless communication networks and multiple actuator faults were investigated in [42], where the problem of structure‐limitation of the observer gain was emphasized. Consensus control problem with actuator saturation in multi‐agent systems was considered in [43], where the influence of faults was analyzed using Nyquist criterion.…”

Controlling the multi‐plant networked system with external perturbations via adaptive model‐based event‐triggered strategy

“…In addition, update law (7) ensures the existence of a control input gain matrix K implying the asymptotically convergence of the state. Thus, we select the state of nominal model as the control input of two models (1) and (2) as follows:…”

“…and P is the symmetric positive definite matrix, and then for t ∈ [t k , t k+1 ), derivative V 1 , V 2 and V 3 respectively along with the (1) and (2). From the definition of the error vector e i , we can easily get .…”

“…With the development of system science, networked control systems (NCSs) have attracted researchers' interests from various fields [1][2][3][4][5][6][7][8][9][10][11][12]. Different from the traditional control system without the communication network (as Figure 1), the networked control system is a kind of system in which the feedback signal from the sensor to the controller and the control signal from the controller to the actuator are transferred through the shared communica-tion network forming a closed-loop, formed by introducing a shared communication network into the single plant control system.…”