Fault Diagnosis of Linear Discrete Time-Varying System with Multiplicative Noise Based on Parity Space Method

Wu, Yutao; Li, Yueyang; Li, Meng; Wang, Zhonghua; Wang, Dongxue

doi:10.1109/isie.2018.8433748

Cited by 2 publications

(1 citation statement)

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“…Using the parity space-based approach, (Sun et al, 2018) investigated a class of discrete-time switched linear systems with dwell time constraints. Additionally, based on the parity space method, (Wu et al, 2018) investigated the problem of fault detection for the linear discrete time-varying system with multiplicative noise. On the other hand, MPCs are powerful tools to control RO desalination plants (Abbas, 2006), (Bartman et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Integrated model predictive fault-tolerant control, and fault detection based on the parity space approach for a reverse osmosis desalination unit

Mehrad

Kargar

2020

Transactions of the Institute of Measurement and Control

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Actuator faults are inevitable in small reverse osmosis desalination plants. It may cause energy losses and reduce the quality of the freshwater, which may endanger human life. This paper focuses on the integrated fault detection and fault-tolerant control approach. The primary motivation of this paper is to propose a novel integrated fault detection and fault-tolerant control approach. The actuator fault is estimated using the concept of parity space approach. Then the system model is updated in the fault-tolerant control block using the information of the estimated fault parameter. Moreover, the proposed approach uses the receding-horizon predictive control-bounded data uncertainties controller, which is the robust and stable variant of generalized predictive control. The remaining uncertainty caused by the model and observer is compensated by this controller. The structure of a small reverse osmosis desalination plant is deployed. In this plant, the permeate flow rate and conductivity are controlled by a retentate valve and a bypass valve, which add a small amount of inlet to the outlet. The performances of three predictive model controllers are evaluated, and a comparison is made between their computational costs, stability, and robustness. The plant is considered to be linear time-invariant and subject to model uncertainties, measurement noise, and actuator fault in the retentate valve as efficiency dropping. The results reveal the robustness of the proposed approach concerning noise and matched uncertainties as well as its accommodation to actuator fault up to 90%.

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