期刊
JOURNAL OF PROCESS CONTROL
卷 65, 期 -, 页码 15-33出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jprocont.2017.10.011
关键词
Data-driven methods; Digital PID controller; Fault-tolerant control (FTC); Sensor faults
资金
- Funds of the National Natural Science Foundation of China [61703429, 61420106016, 61621004]
- Research Fund of State Key Laboratory of Synthetical Automation for Process Industries [2013ZCX01]
This paper investigates the problem of compensating for the slow-changing sensor drift failures occurring in digital PID systems with unknown dynamics. It is extremely difficult to ensure the tracking performance of the faulty systems, due to the system models unavailable, the measurements corrupted by the faults, and the impact of the sensor failures propagated under feedback control. Therefore, the existing data driven fault-tolerant control (FTC) methods are not capable of dealing with the above problem. Contrary to the current state-of-the-art, a novel residual generator structure is devised. Furthermore, its data-driven realization is accomplished, along with the convergence analysis of the proposed closed-loop recursive identification algorithm. On this basis, such failures can be estimated continuously from the residual signals, using an iterative estimation procedure, the convergence of whose mean-square estimation error is theoretically proven. As a result, the effect of the aforementioned failures on the tracking properties is eliminated with the aid of a fault detection mechanism and based on the tracking error signal corrected with the estimated faults. Finally, the effectiveness and merits of the resultant data-driven FTC algorithm are validated by the continuous stirred tank heater benchmark process. (C) 2017 Elsevier Ltd. All rights reserved.
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