Networked Active Fault-Tolerant Predictive Control for Systems With Random Communication Constraints and Actuator/Sensor Faults

Autor:	Qing-Long Han, Zhong-Hua Pang, Cheng-Gang Xia, Guo-Ping Liu, Wei-Feng Zhai
Rok vydání:	2022
Předmět:	Tracking error Model predictive control Observer (quantum physics) Computer simulation Computer science Control theory Control system Electrical and Electronic Engineering Actuator Separation principle
Zdroj:	IEEE Transactions on Circuits and Systems II: Express Briefs. 69:2166-2170
ISSN:	1558-3791 1549-7747
DOI:	10.1109/tcsii.2021.3129477
Popis:	This paper presents an active fault-tolerant predictive control method for the output tracking of networked control systems (NCSs) subject to random communication constraints as well as actuator and sensor faults. The system state and actuator/sensor faults are simultaneously estimated via an observer and then used to perform a fault-tolerant predictive controller. Thus, both faults and the communication constraints in the backward and forward channels are actively compensated. A closed-loop stability condition is obtained, which also guarantees a zero steady-state tracking error. Moreover, the separation principle for designing the observer-based controller holds. Finally, the numerical simulation for a mass-spring-damper system is conducted to illustrate the effectiveness of the proposed method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b9d4e54a940e83bf64c62bf5d9153733 https://doi.org/10.1109/tcsii.2021.3129477 Zobrazit plný text záznamu