Authors: Sun Jinkun; Yang Kang
Addresses: School of Electronic Information Engineering, Xi'an Technological University, Xi'an, 710021, China ' School of Electronic Information Engineering, Xi'an Technological University, Xi'an, 710021, China
Abstract: This paper researches the problem of fault diagnosis for stochastic system characterised by slowly changing, unknown parameters. This paper puts forward a conception of logic parameter decay rate based on the threshold, and has designed a rolling control algorithm learning control law based on Kalman filtering theory and LQG control law, while this algorithm can estimate the parameters, on the side of the parameter learning, the system has good fault tolerance ability, thus more accurate fault detection and isolation. The simulation results verify the effectiveness of the proposed method.
Keywords: fault diagnosis; parameter decay rate; Kalman filter; LQG control; rolling control algorithm.
International Journal of Information and Communication Technology, 2019 Vol.15 No.2, pp.132 - 144
Received: 25 Jan 2018
Accepted: 08 Apr 2018
Published online: 27 Sep 2019 *