Modeling and Control of Delayed, Nonlinear, Uncertain, and Disturbed Air Heater Employing Fuzzy PDC-L 1 Adaptive Scheme

Autor:	Kaushik Das Sharma, Saumyak Chandra, Roshni Maiti, Gautam Sarkar
Rok vydání:	2021
Předmět:	Nonlinear system Adaptive control Control and Systems Engineering Control theory Computer science Full state feedback Duct (flow) Fuzzy control system Electrical and Electronic Engineering Control logic Fuzzy logic Compensation (engineering)
Zdroj:	IEEE Transactions on Industrial Electronics. 68:11328-11338
ISSN:	1557-9948 0278-0046
DOI:	10.1109/tie.2020.3029467
Popis:	In this article, we proposed a scheme of modeling an air heater system with a long airflow duct, predominantly available in many industrial plants to maintain the desired temperature by simultaneously befitting the transport delay, nonlinearities, model uncertainties, and nonuniform disturbances. At first, the nonlinear delayed air heater system is formulated by combining linear fuzzy system models utilizing fuzzy parallel distributed compensation (PDC) logic. Then, a newly developed L 1 adaptive control strategy is modified by replacing its conventional state feedback controller with fuzzy PDC control logic to maintain the desired temperature by nullifying nonlinearities, transport delays, uncertainties, and disturbances. The novelty of the proposed work lies in the fact that the proposed fuzzy PDC law augmented L 1 adaptive scheme explicitly deals with the delays and nonlinearities by means of fuzzy PDC logic as well as eliminates time-varying uncertainties and disturbances utilizing L 1 adaptive control strategy. The results obtained from real-life laboratory-scale experiments suitably demonstrate the usefulness of the proposed approach.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c7bc1438bb2e9c395645fd2a40488358 https://doi.org/10.1109/tie.2020.3029467 Zobrazit plný text záznamu