Fractional order PI^λD^μ controller with optimal parameters using Modified Grey Wolf Optimizer for AVR system

• Autorzy: Verma Santosh Kumar , Devarapalli Ramesh

Identyfikatory

DOI

10.24425/acs.2022.141719

• Języki publikacji: EN

Abstrakty

EN

In this paper, an automatic voltage regulator (AVR) embedded with fractional order PID (FOPID) is employed for the alternator terminal voltage control. A novel meta-heuristic technique, a modified version of grey wolf optimizer (mGWO) is proposed to design and optimize the FOPID AVR system. The parameters of FOPID, namely, proportional gain (Κ_P), the integral gain ( Κ_I), the derivative gain ( Κ_D), λ and μ have been optimally tuned with the proposed mGWO technique using a novel fitness function. The initial values of the Κ_P, Κ_I , and Κ_D of the FOPID controller are obtained using Ziegler-Nichols (ZN) method, whereas the initial values of λ and μ have been chosen as arbitrary values. The proposed algorithm offers more benefits such as easy implementation, fast convergence characteristics, and excellent computational ability for the optimization of functions with more than three variables. Additionally, the hasty tuning of FOPID controller parameters gives a high-quality result, and the proposed controller also improves the robustness of the system during uncertainties in the parameters. The quality of the simulated result of the proposed controller has been validatedby other state-of-the-art techniques in the literature.

Słowa kluczowe

EN

integer order PID controller; fractional order PID controller; automatic voltage regulator; evolutionary optimization; Grey Wolf Optimizer

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2022
• Tom: Vol. 32, No. 2
• Strony: 429--450
• Opis fizyczny: Bibliogr. 56 poz., rys., tab., wzory

Twórcy

autor

Verma Santosh Kumar

• Department of EIE, Assam Energy Institute, Sivasagar (Centre of RGIPT, Jais), Assam-785697, India

autor

Devarapalli Ramesh

• Department of EEE, Lendi Institute of Engineering and Technology, Vizianagaram-535005, India

• https://orcid.org/0000-0003-4246-7728

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)