In order to meet the miniaturization requirements of the simple correction fuze, suppress the noise of the sensor, and identify the torque inertia parameters, a three-closed-loop control parameter identification strategy of grid fan based on differentiator was proposed. Based on the design idea of miniaturization and universality of the grid fan control system, and the basis of three-closed - loop control structure of grid fan, the measurement signal of roll Angle is used as the only input signal, and a differentiator is designed which can extract the angular velocity and angular acceleration signals from the Angle signal. The output signal of the differentiator can be used for the feedback of the velocity loop and current loop of the three closed loops. The differentiator algorithm on the software is used to replace the sensor on the hardware, which reduces the space occupied by the servo module and makes the hardware structure more simple. The effectiveness of the strategy is verified by a simulation example. At the same time, the moment of inertia of the grid fan was identified by the data extracted from the differentiator based on the grid fan roll model, which proved the effectiveness of the differential evolution algorithm in identifying the grid fan moment of inertia. This strategy has wide applicability and can be extended to the control system design of other smart ammunition. This strategy has wide applicability and can be extended to the control system design of other smart ammunition.


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    Title :

    Identification Strategy of Three-Closed-Loop Control Parameters for Grid Fan Fuze Based on Differentiator


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Xiao, Jisong (author) / Li, Dongguang (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Publication date :

    2022-03-18


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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