Optimizing the fault diagnosis and fault-tolerant control of selective catalytic reduction hydrothermal aging using the Unscented Kalman Filter observer. (15th March 2021)

• Record Type: Journal Article
• Authors: Hu, Jie; Zheng, Shijie; Liu, Xingyu; Wang, Menghua; Deng, Jiamei; Yan, Fuwu
• Is Part Of: Fuel. Volume 288(2021)
• Publication Date: 2021-03-15
• Subjects: Diesel engine -- Selective catalytic reduction (SCR) aging -- UKF-based observer -- Fault diagnosis -- Fault-tolerant control; Fuel -- Periodicals; Coal -- Periodicals; Coal; Fuel; Periodicals; 662.6
• DOI: 10.1016/j.fuel.2020.119827
• Languages: English
• ISSNs: 0016-2361

Abstract

Highlights: MRAC (Model Reference Adaptive Controller) integrated with the diagnosis information of UKF (Unscented-Kalman-Filter) is used to fault-tolerant control. The validated SCR aging model is used to carry out the simulation. The performance of aging SCR based on UKF and MRAC can maintain constant. The UKF can be used in control fields and realizes a better control performance. Abstract: The performance of the selective catalytic reduction (SCR) system has been confirmed to be distinctly affected by hydrothermal aging fault. In this paper, an observer based on the Unscented-Kalman-Filter (UKF) algorithm theory is designed to identify the states of hydrothermal aging so that the aging SCR can be more accurately and efficiently diagnosed and fault-tolerant controlled. Furthermore, a model reference adaptive controller (MRAC) based on the theory of Lyapunov is constructed to enhance the fault-tolerant control performance of SCR Simulation, on the basis of the diagnosis information of UKF observer. The simulations and comparisons are performed to verify the performance of aging diagnosis and fault-tolerant control. The corresponding results show that the UKF observer has better estimation accuracy and respond speed for SCR aging, simultaneously, the fault-tolerant control performance of SCR aging is also better.