Pseudo-partial-derivative information-driven adaptive fault-tolerant tracking control for discrete-time systems

Autor:	Yuan Wang, Zhenbin Du, Yanming Wu
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	Actuator fault Discrete-time system Pseudo-partial-derivative information Model-free adaptive control Electronic computers. Computer science QA75.5-76.95 Information technology T58.5-58.64
Zdroj:	Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2531-2539 (2023)
Druh dokumentu:	article
ISSN:	2199-4536 2198-6053
DOI:	10.1007/s40747-023-01280-4
Popis:	Abstract The fault-tolerant tracking control problem is studied for the discrete-time systems with actuator faults. To lessen adverse impacts of actuator fault, a PPD information-driven fault estimation algorithm is established to adaptively estimate actuator fault information online, which avoids the additional construction and training process of neural network. With the aid of the adaptive fault compensation, a model-free adaptive fault-tolerant tracking control algorithm is constructed to ensure that the expected output reference trajectory can be tracked by system output. Moreover, only input and output data are employed throughout the design process, system dynamics are not demanded. Ultimately, the availability of developed strategy is proved through a simulation.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/85fdadfbb9c0450a88e051ac7ecaeba4 Zobrazit plný text záznamu Full text from SpringerLink View record in DOAJ