Cross-coupling control method for motor of mine cable winding car
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摘要: 为提高矿用电缆卷放车电动机组的工作精度，针对排线电动机和卷筒电动机运行控制中的负载扰动与转速调节等问题，提出了一种矿用电缆卷放车电动机交叉耦合控制方法。采用果蝇优化算法（FOA）对电动机交叉耦合控制模型的PI参数进行寻优，并以ITAE函数作为评价指标衡量参数优化性能。仿真分析结果表明：与遗传算法（GA）相比，采用FOA进行PI参数寻优收敛速度更快，误差更低；用FOA进行PI参数优化后，交叉耦合控制模型可在20 ms内完成电动机转速调节，调节速度快，收敛精度高，且具有良好的稳定性；施加干扰后，电动机能够快速跟随响应，验证了电缆卷放车电动机交叉耦合控制方法具有较好的抗干扰性及跟随性。Abstract: In order to improve working accuracy of motor unit of mine cable winding car, aiming at problems of load disturbance and speed adjustment in the operation control of cable motor and reel motor, a cross-coupling control method for motor of mine cable winding car was proposed. Fruit fly optimization algorithm (FOA) is used to optimize PI parameters of motor cross-coupling control model, and ITAE function is used as evaluation index to measure parameter optimization performance. The simulation analysis results show that compared with genetic algorithm (GA), using FOA for PI parameter optimization has higher convergence speed and lower error; the cross-coupling control model using FOA for PI parameter optimization can complete motor speed adjustment within 20 ms, which has high adjustment speed, high convergence accuracy and good stability; the motor can quickly follow response after interference is applied, which verifies that the cross-coupling control method for motor of mine cable winding car has good anti-interference and follow ability.
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期刊类型引用(4)
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