Water level control of steam generator in nuclear power plant based on intelligent MFAC-PID

Du, Yonglu, Li, Haotian, Fei, Minrui, Wang, Ling, Zhang, Pinggai and Zhao, Wanqing ORCID: https://orcid.org/0000-0001-6160-9547 (2021) Water level control of steam generator in nuclear power plant based on intelligent MFAC-PID. In: 2021 40th Chinese Control Conference (CCC), 2021-07-26 - 2021-07-28, Shanghai, China.

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As an indispensable key equipment in nuclear power plants, the water level control of steam generators directly affects the quality of exported steam, which is critical to the safe operation of nuclear power plant units. The controlled object, water level control system often has the characteristics of time lag, inertia and time-varying, and it is difficult to achieve the desired control effect using the classical control method. To solve the above problem, this paper proposes an intelligent model-free adaptive control and PID (IMFAC-PIDA) approach, in which an improved MFAC controller is designed to enhance the performance of the system, and the adaptive simplified human learning optimization (ASHLO) algorithm is used to optimize the parameter of the designed controller. Finally, the simulation experiments show that the proposed IMFAC-PIDA significantly outperforms other four control approaches.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: data-driven,human learning optimization,model-free adaptive control,steam generator,water level control,computer science applications,control and systems engineering,applied mathematics,modelling and simulation ,/dk/atira/pure/subjectarea/asjc/1700/1706
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Smart Emerging Technologies
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Depositing User: LivePure Connector
Date Deposited: 10 Nov 2021 08:30
Last Modified: 18 Aug 2023 12:31
URI: https://ueaeprints.uea.ac.uk/id/eprint/82039
DOI: 10.23919/CCC52363.2021.9549567

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