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基于PID神經(jīng)網(wǎng)絡(luò )的多輪輪轂電機協(xié)調控制研究
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黑龍江工程學(xué)院汽車(chē)與交通工程學(xué)院

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Research on Coordinated Control of Multi wheel Wheel Motor Based on PID Neural Network
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    摘要:

    多輪輪轂電機運行參數具有不確定性,因此難以精準計算電機協(xié)調控制量,所以設計基于PID神經(jīng)網(wǎng)絡(luò )的多輪輪轂電機協(xié)調控制方法。搭建多輪輪轂電機數學(xué)模型,在該模型下實(shí)時(shí)采集多輪輪轂電機轉速、位置等運行參數,并計算電機協(xié)調控制量。裝設PID神經(jīng)網(wǎng)絡(luò )協(xié)調控制器,利用PID神經(jīng)網(wǎng)絡(luò )算法生成協(xié)調控制指令,從轉速、轉矩等方面實(shí)現多輪輪轂電機的協(xié)調控制。測試結果表明,在所提方法的協(xié)調控制下,多輪輪轂電機在空載和負載工況下的轉矩控制誤差降低了21.25r/min和25.7r/min,轉矩控制誤差降低了6.55N·m和17.45N·m,電機運行平衡度有所提升,多輪輪轂電機協(xié)調控制效果更好。

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    The operation parameters of multi-wheel hub motor are uncertain, so it is difficult to accurately calculate the coordinated control quantity of the motor, so the coordinated control method of multi-wheel hub motor based on PID neural network is designed. The mathematical model of multi-wheel hub motor is built, under which the operating parameters such as speed and position of multi-wheel hub motor are collected in real time, and the coordinated control quantity of motor is calculated. The PID neural network coordination controller is installed, and the coordination control command is generated by using the PID neural network algorithm to realize the coordination control of multi-wheel hub motor from the aspects of speed, torque, etc. The test results show that under the coordinated control of the proposed method, the torque control error of the multi-wheel hub motor under no-load and load conditions is reduced by 21.25r/min and 25.7r/min, the torque control error is reduced by 6.55N·m and 17.45N·m, the motor operation balance is improved, and the coordinated control effect of the multi-wheel hub motor is better.

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蘇清源.基于PID神經(jīng)網(wǎng)絡(luò )的多輪輪轂電機協(xié)調控制研究計算機測量與控制[J].,2023,31(8):135-141.

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歷史
  • 收稿日期:2023-03-06
  • 最后修改日期:2023-04-18
  • 錄用日期:2023-04-19
  • 在線(xiàn)發(fā)布日期: 2023-08-22
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