Optimizing the fault diagnosis and fault-tolerant control of selective catalytic reduction hydrothermal aging using the Unscented Kalman Filter observer

نویسندگان

چکیده

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 Unscented-Kalman-Filter (UKF) algorithm theory is designed identify states so that SCR can more accurately and efficiently diagnosed fault-tolerant controlled. Furthermore, a model reference adaptive controller (MRAC) Lyapunov constructed enhance control Simulation, basis diagnosis information UKF observer. simulations comparisons are performed verify control. corresponding results show better estimation accuracy respond speed for aging, simultaneously, also better.

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ژورنال

عنوان ژورنال: Fuel

سال: 2021

ISSN: ['0016-2361', '1873-7153']

DOI: https://doi.org/10.1016/j.fuel.2020.119827