Progressive Optimal Fault-Tolerant Control Combining Active and Passive Control Manners

• Published in: Actuators Vol. 13; no. 4; p. 150
• Main Authors: Du, Dan, Li, Zetao, Dahhou, Boutaib
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2024
• Subjects: Active control; active fault-tolerant control; Algorithms; Artificial intelligence; Closed loop systems; Control methods; Control theory; Controllers; Cost control; Fault diagnosis; Fault tolerance; guaranteed robust cost control; Methods; Parameter uncertainty; Passive control; passive fault-tolerant control; Performance indices; progressive optimal fault-tolerant control; Robust control; Systems stability; China
• ISSN: 2076-0825; 2076-0825
• DOI: 10.3390/act13040150

This study develops a progressive optimal fault-tolerant control method based on insufficient fault information. By combining passive and active fault-tolerant control manners during the process of fault diagnosis, insufficient fault information is fully used, and optimal fault-tolerant control effect is achieved. In addition, the fault-tolerant control method based on guaranteed robust cost control is introduced. The proposed progressive optimal fault-tolerant control method considers two aspects. First, as the amount of fault information continually increases, the performance index of the progressive optimal fault-tolerant controller improves. Second, at each moment, based on the corresponding insufficient fault information and prior knowledge, optimal fault-tolerant control is achieved according to current fault information. The process of progressive optimal fault-tolerant control converges to active fault-tolerant control when the fault is completely identified, and the optimal fault-tolerant controller is no longer reconfigured until no more useful fault information can be provided. Furthermore, a progressive optimal fault-tolerant control algorithm based on the grid segmentation in the parameter uncertainty domain and the selection of different auxiliary center points is introduced. Simulation results verified the feasibility of the proposed algorithm and the validity of the proposed theory.