Study on life extension strategy based on real-time life prediction of feedback control system

Abstract

Abstract: Aiming at the problem that the performance of the feedback control system cannot meet the time limit of the control task due to the implicit degradation of the actuator, a dynamic matrix control (DMC) life extension method based on the real-time life prediction of the feedback system is proposed. Firstly, based on the Wiener and Poisson process, a composite model more suitable for the actual degradation process of actuator is established. Secondly, by analyzing the impact of the implicit degradation of the actuator on the performance of the control system, the analytical solution of the remaining life (RUL) of the system is given, and the real-time and rapid prediction of system RUL is realized. Then, based on the RUL prediction information and combined with the DMC method, the RUL of the system is extended by the online targeted adjustment of the element values of the constraint matrix Q and R, so as to ensure the achievement of the time limit requirements of control tasks. Finally, the effectiveness of the proposed method is verified by a double tank liquid level system, and the life extension effect and robustness are better than the existing LQR method.

Key words: actuator, composite degradation, system life prediction, robustness

CLC Number:

TP273

LI Wei, LI Zong-ren, MAO Hai-jie. Study on life extension strategy based on real-time life prediction of feedback control system[J]. Journal of Lanzhou University of Technology, 2021, 47(6): 74-83.

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