Research on improved sparrow search algorithm for PID controller parameter optimization

• Autorzy: Zhang Mingfeng , Xu Chuntian , Xu Deying , Ma Guoqiang , Han Han , Zong Xu

Identyfikatory

DOI

10.24425/bpasts.2023.147344

• Języki publikacji: EN

Abstrakty

EN

PID controllers are crucial for industrial control because of their simple structure and good robustness. In order to further improve the accuracy of PID controllers, this paper proposes an improved sparrow search algorithm (ISSA) to prevent the problem of the algorithm being prone to falling into the local optimum at the late stage of iteration. Based on the standard sparrow search algorithm, the position update formula and the step size control parameter are optimized to help quickly jump out of the local, and to obtain the optimal solution in the whole domain. Finally, to verify the accuracy and stability of the improved algorithm, nine standard test functions are first simulated. Then, the PID parameter optimization tests are finished with the chilled water and battery charging systems, where the lifting load and applying perturbation are carried out. Both the simulation and test results show that ISSA improves the convergence speed and accuracy, and performs better in terms of stability.

Słowa kluczowe

EN

ISSA; improved sparrow search algorithm; PID controller; parameter optimization

PL

ISSA; kontroler PID; optymalizacja parametrów; algorytm wyszukiwania

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2023
• Tom: Vol. 71, nr 6
• Strony: art. no. e147344
• Opis fizyczny: Bibliogr. 28 poz., rys., tab.

Twórcy

autor

Zhang Mingfeng

• School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, Liaoning, China

autor

Xu Chuntian

• School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, Liaoning, China

• https://orcid.org/0000-0002-0048-0345

autor

Xu Deying

• School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, Liaoning, China

autor

Ma Guoqiang

• School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, Liaoning, China

autor

Han Han

• College of Science – Computer Science, University of Arizona, Tucson, Arizona, USA

autor

Zong Xu

• Angang Steel Co. LTD, Anshan Iron & Steel, Anshan, Liaoning, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).