Improved BBO Algorithm Suppressed Torque Ripple of Motorized Spindle

doi:10.3901/JME.2020.18.197

Abstract

Abstract: The output torque ripple of motorized spindle has an important influence on its control performance. When identification result of stator resistance has deviation, the stator flux track will be distorted, which will cause the output torque ripple of motorized spindle. Therefore, it is necessary to study how to suppress the torque ripple of motorized spindle. Based on torque ripple analysis of motorized spindle, the application strategy of biogeography optimization (BBO) algorithm in direct torque control (DTC) is proposed. BBO algorithm is improved by optimizing the operator, probability and initial value. Improved BBO algorithm enhances its development ability and exploration ability. Combined with nonlinear constraint equation, improved BBO algorithm is applied to suppress the torque ripple of motorized spindle. In order to solve the problem of stator resistance identification, a method based on improved BBO algorithm is proposed to improve the accuracy of online stator resistance identification, reduce the stator flux track distortion, so as to achieve the effect of suppressing the torque ripple of motorized spindle. To solve the problem of subdivision of voltage vector action time in the modulation waveform, an improved BBO algorithm based on TRMPWM model is proposed to optimize the voltage vector action time. Without changing the stator flux track, the torque ripple of motorized spindle is reduced by 66% when the frequency is 10 Hz. Simulation shows that improved BBO algorithm can improve the accuracy of stator resistance online identification and optimize the action time of voltage vector of TRMPWM, and achieve the purpose of suppressing torque ripple of motorized spindle.

Key words: motorized spindle, BBO algorithm, direct torque control(DTC), torque ripple, stator resistant

CLC Number:

WU Yuhou, PAN Zhenning, ZHANG Lixiu. Improved BBO Algorithm Suppressed Torque Ripple of Motorized Spindle[J]. Journal of Mechanical Engineering, 2020, 56(18): 197-204.

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