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Implicit Generalized Predictive Control-Based Fractional-Order PID Strategy for BTTGU Regulation System

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Abstract

The superior stability and rapidity of the speed output of the bulb tubular turbine generator unit (BTTGU) plays an important role for safe operation of water turbine in hydropower. In order to improve the stability and rapidity performance mentioned above, an implicit generalized predictive control-based fractional-order PID (FOPID-IGPC) control strategy is proposed in this paper. Firstly, the improved gravitational search algorithm is used to obtain the model parameters; secondly, the fractional-order PID (FOPID) algorithm and the implicit generalized predictive control (IGPC) algorithm are combined to construct a FOPID-IGPC controller for manipulating BTTGU. Meanwhile, the proposed FOPID-IGPC control strategy is designed systematically. Finally, the effectiveness of the proposed method is verified by simulation scenarios, including start-up, frequency tracking and rotational speed disturbance scenario. In addition, the paper discusses the stability of the system under the designed control strategy when the important parameters vary. The simulation results show that the proposed FOPID-IGPC control strategy can effectively improve the speed and stability of the BTTGU regulation system.

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Funding

Funding was provided by National Natural Science Foundation of China (Grant Nos. 61563032, 61963025), Gansu Basic Research Innovation Group, China (Grant No. 18JR3RA133), Open Fund Project of Industrial Process Advanced Control of Gansu Province (Grant No. 2019KFJJ02).

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Authors and Affiliations

  1. College of Electrical and Information Engineering, Lanzhou University of Technology, Qilihe, Lanzhou, 730050, Gansu, China

    Yongan Wen, Rongxin Wang & Aimin An

  2. Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Qilihe, Lanzhou, 730050, Gansu, China

    Aimin An

  3. National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Qilihe, Lanzhou, 730050, Gansu, China

    Aimin An

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  1. Yongan Wen
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  2. Rongxin Wang
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Correspondence to Aimin An.

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Wen, Y., Wang, R. & An, A. Implicit Generalized Predictive Control-Based Fractional-Order PID Strategy for BTTGU Regulation System. J Control Autom Electr Syst 34, 1043–1053 (2023). https://doi.org/10.1007/s40313-023-01022-4

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  • DOI: https://doi.org/10.1007/s40313-023-01022-4

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