虚拟主轴多电机预定义时间总量协同控制
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湖南工业大学电气与信息工程学院株洲412007

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TN98

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国家自然科学基金(62303178)、湖南省自然科学基金(2023JJ50193, 2024JJ7139)项目资助


Virtual spindle multi-motor predefined time total cooperative control
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School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China

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    摘要:

    针对城际列车牵引系统因参数摄动和未知扰动等不确定因素造成一台或多台电机牵引性能下降,导致总牵引力减小的问题,提出一种基于虚拟主轴的多电机预定义时间总量协同控制方法。首先,考虑参数摄动和未知扰动,基于多电机输出转矩与给定转矩的跟踪误差,建立城际列车多电机的状态方程。其次,采用新型预定义时间滑模面,基于总量协同一致控制算法设计预定义时间总量协同控制器;同时,采用虚拟主轴控制策略,将多电机转矩总和反馈给总量协同控制器,确保列车牵引力总量恒定,同时提高了多电机的同步控制性能。最后,通过与PI控制、积分滑模控制进行仿真与半实物实验比较,验证了所提出的控制算法,多电机输出总转矩在预定义时间内保持稳定,系统输出转矩能在0.005 s内跟踪给定转矩,跟踪误差不超过0.03%。结果表明当电机存在参数摄动和未知扰动时,该方法增强了多电机牵引系统的同步控制性能。

    Abstract:

    Aiming at the trouble which the tractive performance of one or more motors in intercity train tractive system decreases due to uncertainties such as parameter perturbations and unknown disturbances, resulting in the reduction of total traction, a multi-motor predefined time total collaborative control method based on virtual spindle is proposed. Firstly, considering parameter perturbations and unknown disturbances, the state equations of the multi-motor of the intercity train are established based on the tracking error of the output torque of multiple motors versus a given torque. Secondly, a novel predefined time sliding mode surface is used to design a predefined time total cooperative controller based on the total cooperative consistent control algorithm; meanwhile, the virtual spindle control strategy is used to feedback the sum of multi-motor torque to the total cooperative controller to ensure that the total train traction force is constant, and at the same time, the synchronization control performance of multi-motor is improved. Finally, the proposed control algorithm is verified by comparing simulation and hardware-in-the-loop experiments with PI control and integral sliding mode control. The total output torque of the multi-motor is kept stable within a predefined time, and the output torque of the system is able to track the given torque within 0.005 s, with a tracking error of no more than 0.03%. The results show that the method enhances the synchronization control performance of a multi-motor traction system when there are parameter perturbations and unknown disturbances in the motor.

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赵凯辉,马文瑞,罗美芸,张昌凡,贾林.虚拟主轴多电机预定义时间总量协同控制[J].电子测量与仪器学报,2025,39(10):122-133

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