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学者姓名：周扬忠
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Abstract ：
针对 T 型三电平逆变器驱动的永磁同步电动机驱动系统存在的电容中点电压不易平衡、共模电压较高问题,提出1种有限电压矢量集优化的模型预测瞬时转矩控制MPITC(model predictive instantaneous torque control)策略.首先,鉴于电压矢量对中点电压的影响,仅选用零矢量、小矢量和大矢量参与MPITC.其次,基于开关状态与共模电压的关系,确定 13 个低共模电压矢量参与控制.再次,为提高电机运行性能,利用长矢量合成虚拟电压矢量替代中矢量参与模型预测控制.最后,根据中点电位和电机电流方向,从 19 个电压矢量中选出对维持中点电压平衡有利的电压矢量作为预选矢量集.实验结果证明了所提控制策略能够有效降低电磁转矩和磁链脉动及共模电压幅值,同时能够实现中点电压的平衡控制.
Keyword ：
T型三电平逆变器 T型三电平逆变器 中点电压平衡 中点电压平衡 共模电压 共模电压 模型预测瞬时转矩控制 模型预测瞬时转矩控制
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| GB/T 7714 | 郑伟杰 , 周扬忠 . 基于有限电压矢量集优化的永磁同步电动机模型预测瞬时转矩控制 [J]. | 电源学报 , 2025 , 23 (2) : 213-223 . |
| MLA | 郑伟杰 等. "基于有限电压矢量集优化的永磁同步电动机模型预测瞬时转矩控制" . | 电源学报 23 . 2 (2025) : 213-223 . |
| APA | 郑伟杰 , 周扬忠 . 基于有限电压矢量集优化的永磁同步电动机模型预测瞬时转矩控制 . | 电源学报 , 2025 , 23 (2) , 213-223 . |
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Abstract ：
Single-winding bearingless flux switching permanent magnet motor (BFSPMM), characterized by its frictionless operation, maintenance-free nature, and high efficiency, holds the potential to fundamentally address the issues of bearing erosion and failure in marine propulsion motors caused by harsh oceanic environments. However, the torque and suspension forces are strongly coupled, and the radial forces are complex and variable, resulting in significant rotor displacement ripples that severely impact the performance of electric drive systems. Herein, a suspension internal model control strategy with active ripple suppression is proposed. Firstly, based on the magnetic field modulation theory, the mechanism of unbalanced magnetic pull is analyzed in detail, and the corresponding expressions are established. Then, a rotor dynamic model is derived from the differential equations of a whirl for the suspended rotor, which facilitates the construction of the BFSPMM internal model. A linear extended state observer is employed to obtain smoother displacement error signals, differential signals, and account for unmodeled dynamics. Subsequently, an inverse system model for the controllable suspension force is derived, and the internal model controller is formulated and analyzed in an innovative PD-based structure. This approach not only enhances the controller's performance but also simplifies the tuning process, requiring only two parameters to be adjusted. Finally, the performance of the proposed method is analyzed theoretically, and its effectiveness is validated through experimental verification. © 1986-2012 IEEE.
Keyword ：
Bearingless motor Bearingless motor displacement control displacement control internal model control internal model control magnetic levitation magnetic levitation
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| GB/T 7714 | Chen, Y. , Zhou, Y. , Zhang, C. et al. Suspension Internal Model Control with Active Ripple Rejection of Single-Winding Bearingless Flux Switching Permanent Magnet Motor [J]. | IEEE Transactions on Energy Conversion , 2025 . |
| MLA | Chen, Y. et al. "Suspension Internal Model Control with Active Ripple Rejection of Single-Winding Bearingless Flux Switching Permanent Magnet Motor" . | IEEE Transactions on Energy Conversion (2025) . |
| APA | Chen, Y. , Zhou, Y. , Zhang, C. , Nie, F. . Suspension Internal Model Control with Active Ripple Rejection of Single-Winding Bearingless Flux Switching Permanent Magnet Motor . | IEEE Transactions on Energy Conversion , 2025 . |
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The strong coupling of suspension force and torque in a single-winding bearingless flux-switching permanent magnet motor (SWBFSPMM) creates a complex dynamic model, complicating controller parameter tuning. The complexity and large data requirements of intelligent algorithms highlight the continued relevance of PID control, which remains dominant in high-integration and low-cost applications. Consequently, research on tuning PID controllers is crucial. This article proposes a controller parameter optimization strategy based on characteristic models. Initially, the principles governing the generation of controllable suspension force and unbalanced magnetic pull during motor operation are analyzed, leading to the development of corresponding mechanistic models. Notably, a spatially asymmetric rotor dynamic eccentricity modulation operator is introduced to accurately represent the establishment of unbalanced magnetic pull. The rotor dynamic model is then simplified, and a characteristic model for the system is established. To enhance controller parameter tuning, an online algorithm for optimization is proposed, which involves iteratively adjusting the controller parameters over a specified period, guided by the output error between the characteristic model and the actual system. This approach facilitates the determination of optimal controller parameters. Finally, experimental studies are conducted on the prototype, validating the effectiveness of the proposed method.
Keyword ：
Air gaps Air gaps Force Force Magnetic flux Magnetic flux Magnetic levitation Magnetic levitation Mathematical models Mathematical models Motors Motors Parameter optimization Parameter optimization rotor dynamic eccentricity rotor dynamic eccentricity Rotors Rotors single-winding bearingless flux-switching permanent magnet motor (SWBFSPMM) single-winding bearingless flux-switching permanent magnet motor (SWBFSPMM) Torque Torque Tuning Tuning unbalanced magnetic pull unbalanced magnetic pull Windings Windings
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| GB/T 7714 | Chen, Yao , Zheng, Haoyuan , Zhou, Yangzhong et al. Controller Parameter Optimization Strategy Based on Characteristic Model for Single-Winding Bearingless Flux-Switching Permanent Magnet Motor [J]. | IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS , 2025 , 13 (2) : 2224-2233 . |
| MLA | Chen, Yao et al. "Controller Parameter Optimization Strategy Based on Characteristic Model for Single-Winding Bearingless Flux-Switching Permanent Magnet Motor" . | IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS 13 . 2 (2025) : 2224-2233 . |
| APA | Chen, Yao , Zheng, Haoyuan , Zhou, Yangzhong , Zhang, Changkun , Liao, Weiqiang . Controller Parameter Optimization Strategy Based on Characteristic Model for Single-Winding Bearingless Flux-Switching Permanent Magnet Motor . | IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS , 2025 , 13 (2) , 2224-2233 . |
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Aimed at the problems of unbalanced capacitor neutral-point voltage and high common-mode voltage in a permanent magnet synchronous motor drive system powered by a T-type three-level inverter, a model predictive instantaneous torque control (MPITC) strategy based on finite voltage vector set optimization is proposed. First, in view of the influence of voltage vectors on the neutral-point voltage, only zero, small and large vectors are selected to participate in MPITC. Second, according to the relationship between the switching states and common-mode voltage, it is confirmed that 13 low common-mode voltage vectors participate in the control. To improve the operation performance of the motor, the long vector synthetic virtual voltage vector is used to replace the medium vector to participate in the model predictive control. Finally, according to the neutral-point potential and the motor current direction, the voltage vector which is favorable for maintaining the neutral-point voltage balance is selected from 19 voltage vectors as the preselected vector set. Experimental results show that the proposed control strategy can effectively reduce the electromagnetic torque, flux linkage pulsation and common-mode voltage amplitude, and the neutral-point voltage achieves balanced control. © 2025 Editorial Department of Journal of Power Supply. All rights reserved.
Keyword ：
common-mode voltage common-mode voltage model predictive instantaneous torque control (MPITC) model predictive instantaneous torque control (MPITC) neutral-point voltage balance neutral-point voltage balance T-type three-level inverter T-type three-level inverter
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| GB/T 7714 | Zheng, W. , Zhou, Y. . Model Predictive Instantaneous Torque Control of Permanent Magnet Synchronous Motor Based on Finite Voltage Vector Set Optimization; [基于有限电压矢量集优化的永磁同步电动机模型预测瞬时转矩控制] [J]. | Journal of Power Supply , 2025 , 23 (2) : 213-223 . |
| MLA | Zheng, W. et al. "Model Predictive Instantaneous Torque Control of Permanent Magnet Synchronous Motor Based on Finite Voltage Vector Set Optimization; [基于有限电压矢量集优化的永磁同步电动机模型预测瞬时转矩控制]" . | Journal of Power Supply 23 . 2 (2025) : 213-223 . |
| APA | Zheng, W. , Zhou, Y. . Model Predictive Instantaneous Torque Control of Permanent Magnet Synchronous Motor Based on Finite Voltage Vector Set Optimization; [基于有限电压矢量集优化的永磁同步电动机模型预测瞬时转矩控制] . | Journal of Power Supply , 2025 , 23 (2) , 213-223 . |
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Due to the lack of mechanical bearing support for the dual-winding bearingless flux-switching permanent magnet machine (BFSPMM), it is necessary to constantly detect the radial position information of the rotor through the sensor, which has some disadvantages such as high cost and complex installation process. In this article, a novel rotor radial position observation method is proposed to overcome the above shortcomings. First, the working principle of motor rotation and suspension is analyzed, and the characteristics of back EMF and permanent magnet flux linkage with rotor eccentricity in suspension winding are discussed. Second, according to the magnetic field modulation theory, the relation between the coupled permanent magnet flux linkage in the suspension coils and the eccentric displacement of the rotor is derived, and the mathematical model of rotor radial position observation is established. Then, the coupling permanent magnet flux linkage of suspension winding is extracted through the voltage model method, and the error of rotor radial position observation is indirectly compensated. Finally, the experiment verifies that the proposed method can effectively detect the rotor radial position information.
Keyword ：
Dual-winding bearingless flux-switching permanent magnet machine (BFSPMM) Dual-winding bearingless flux-switching permanent magnet machine (BFSPMM) magnetic field modulation magnetic field modulation permanent magnet flux linkage permanent magnet flux linkage radial position observation radial position observation rotor eccentricity rotor eccentricity
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| GB/T 7714 | Cui, Zhengshan , Zhou, Yangzhong , Zhou, Yihao . Research on Rotor Radial Position Observation Method of Dual-Winding Bearingless Flux-Switching Permanent Magnet Machines [J]. | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2024 , 71 (7) : 6622-6634 . |
| MLA | Cui, Zhengshan et al. "Research on Rotor Radial Position Observation Method of Dual-Winding Bearingless Flux-Switching Permanent Magnet Machines" . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 71 . 7 (2024) : 6622-6634 . |
| APA | Cui, Zhengshan , Zhou, Yangzhong , Zhou, Yihao . Research on Rotor Radial Position Observation Method of Dual-Winding Bearingless Flux-Switching Permanent Magnet Machines . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2024 , 71 (7) , 6622-6634 . |
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在三电平六相电机驱动系统中,存在中点电压不平衡及零序电流导致定子电流畸变等问题.为此,该文针对T型三电平逆变器供电的六相永磁同步电机,提出一种具有中点电压平衡与零序电流抑制功能的直接转矩控制(DTC)策略.为实现DTC的快速构建,该策略基于两电平三相电机DTC结构,利用精简后的开关状态,在六相绕组轴线上分别合成满足控制要求的 4 个电压矢量,然后通过两个滞环比较器结合简单的扇区划分,确定最优电压矢量所在轴线,同时构建中点电压与零序电流控制平面,并对系统在控制平面所处扇区进行判断.在此基础上,根据最优电压矢量所在绕组的相电流iy的极性,实现最优电压矢量的选择,并进一步构建DTC最优开关矢量表.最后,通过实验结果验证了所提控制策略的可行性和有效性.
Keyword ：
T型三电平逆变器 T型三电平逆变器 中点电压平衡 中点电压平衡 六相永磁同步电机 六相永磁同步电机 直接转矩控制 直接转矩控制 零序电流抑制 零序电流抑制
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| GB/T 7714 | 黄德猛 , 周扬忠 , 屈艾文 et al. 具有中点电压平衡与零序电流抑制的T型三电平逆变器供电六相PMSM-DTC [J]. | 电工技术学报 , 2024 , 39 (20) : 6371-6385 . |
| MLA | 黄德猛 et al. "具有中点电压平衡与零序电流抑制的T型三电平逆变器供电六相PMSM-DTC" . | 电工技术学报 39 . 20 (2024) : 6371-6385 . |
| APA | 黄德猛 , 周扬忠 , 屈艾文 , 禹春敏 . 具有中点电压平衡与零序电流抑制的T型三电平逆变器供电六相PMSM-DTC . | 电工技术学报 , 2024 , 39 (20) , 6371-6385 . |
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针对永磁同步直线电机(permanent magnet synchronous linear motor,PMSLM)机械参数辨识中存在模型不准确、辨识参数耦合、辨识精度低等问题,该文提出一种基于传动模型重构的机械参数辨识算法.首先,根据重构模型建立扩张状态观测器得到动子质量和摩擦力、电磁推力、质量辨识初值的耦合信息;其次,为消除这种耦合,提出一种两级式的动子质量解耦辨识策略.再次,根据PMSLM的摩擦特性,构造一种综合考虑速度和加速度影响的摩擦力模型,更精确地描述真实摩擦力.最后,搭建基于机械参数辨识算法的控制系统,通过仿真和实验验证,证明所提辨识算法的有效性.
Keyword ：
扩张状态观测 扩张状态观测 拓展卡尔曼滤波 拓展卡尔曼滤波 摩擦力模型 摩擦力模型 机械参数辨识 机械参数辨识 永磁同步直线电机 永磁同步直线电机 解耦 解耦
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| GB/T 7714 | 鲍明堃 , 周扬忠 , 钟天云 . 基于传动模型重构的永磁同步直线电机机械参数辨识 [J]. | 中国电机工程学报 , 2024 , 44 (4) : 1597-1607,中插29 . |
| MLA | 鲍明堃 et al. "基于传动模型重构的永磁同步直线电机机械参数辨识" . | 中国电机工程学报 44 . 4 (2024) : 1597-1607,中插29 . |
| APA | 鲍明堃 , 周扬忠 , 钟天云 . 基于传动模型重构的永磁同步直线电机机械参数辨识 . | 中国电机工程学报 , 2024 , 44 (4) , 1597-1607,中插29 . |
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A permanent magnet synchronous linear servo motor has the characteristics of high thrust density, high efficiency, and fast control response. It is widely used in rail transit, intelligent manufacturing, and aerospace fields. The electrical or mechanical parameters of the motor and nonlinear resistance interference will affect the high precision control of the linear servo. Therefore, the stable and efficient displacement control algorithm has important engineering application value to improve the system performance. Servo control can be divided into serial and parallel systems according to the relative position of displacement and velocity loop. However, whether serial or parallel control, most controller parameters need to be set in advance and are generally fixed, and adjusting the actual control effect is impossible. This paper proposes a parallel control strategy of variable parameter displacement velocity of permanent magnet synchronous linear motor based on composite neural network reconstruction object, which realizes the high-performance control of linear servo motor. Firstly, a parallel controller with variable parameters is designed using the error information of the moving displacement and linear velocity. Then, the displacement output of the permanent magnet synchronous linear motor is reconstructed by a composite radial basis neural network containing multi-dimensional information of the control object, and the partial derivative of the displacement to the control signal is obtained. Finally, based on the closed-loop stability condition of the system, a complete parameter update strategy of parallel controller with displacement velocity is provided according to the comparison between periodic retrieval errors and control targets. In the experiment, a permanent magnet synchronous linear servo system is designed, and different network observations, position controls, and object parameter controls are compared. The network comparison shows that the composite radial-based neural network has fast observation speed and high observation accuracy, and the observation time and root mean square error are 18.63 μs and 0.063 mm, respectively. The position control comparison shows that the variable parameter parallel algorithm has higher control precision than the fixed parameter algorithm, such as PID control, with a 30%～50% improvement effect in the displacement and velocity control error indexes. The parameter control comparison shows that in the variable parameter parallel control strategy, when the moving mass changes, the root mean square of displacement error is less than 0.015 mm, and the absolute maximum error is less than 0.060 mm, which means that the algorithm has stability and universality. The following conclusions can be drawn: (1) The composite RBF neural network structure has better observation performance than the traditional RBF neural network. Compared with the traditional improvement method, it has a better effect with less computing pressure on the processor. (2) Compared with the fixed coefficient algorithm, such as PID, the proposed variable parameter parallel control strategy can effectively improve the control performance of the actuator displacement. (3) The variable parameter parallel control strategy can guarantee the high precision control effect under different displacement settings and object parameters. © 2024 China Machine Press. All rights reserved.
Keyword ：
Controllers Controllers Errors Errors Linear motors Linear motors Mean square error Mean square error Permanent magnets Permanent magnets Position control Position control Radial basis function networks Radial basis function networks Three term control systems Three term control systems Velocity control Velocity control
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| GB/T 7714 | Bao, Mingkun , Zhou, Yangzhong . Parallel Displacement Velocity Control of Permanent Magnet Synchronous Linear Motor with Variable Parameters Based on Composite Neural Network Reconstruction Object [J]. | Transactions of China Electrotechnical Society , 2024 , 39 (8) : 2470-2484 . |
| MLA | Bao, Mingkun et al. "Parallel Displacement Velocity Control of Permanent Magnet Synchronous Linear Motor with Variable Parameters Based on Composite Neural Network Reconstruction Object" . | Transactions of China Electrotechnical Society 39 . 8 (2024) : 2470-2484 . |
| APA | Bao, Mingkun , Zhou, Yangzhong . Parallel Displacement Velocity Control of Permanent Magnet Synchronous Linear Motor with Variable Parameters Based on Composite Neural Network Reconstruction Object . | Transactions of China Electrotechnical Society , 2024 , 39 (8) , 2470-2484 . |
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Aiming at the problems of inaccurate model, coupling of identification parameters, and low identification accuracy in the identification of permanent magnet synchronous linear motor (PMSLM) mechanical parameters, a mechanical parameter identification algorithm based on transmission model reconstruction was proposed in this paper. First, an extended state observer was established based on the reconstruction model to obtain the coupling information of the mover mass and friction force, electromagnetic thrust and initial value of mass identification. Secondly, in order to eliminate this coupling, a two-stage mover mass decoupling identification strategy was proposed. Thirdly, according to the friction characteristics of PMSLM, a friction force model that comprehensively considers the effects of velocity and acceleration was constructed to describe the real friction force more accurately. Finally, a control system based on the mechanical parameter identification algorithm was built, and the effectiveness of the identification algorithm proposed in this paper is proved by simulation and experimental verification. ©2024 Chin.Soc.for Elec.Eng. 1597.
Keyword ：
Acceleration Acceleration Extended Kalman filters Extended Kalman filters Friction Friction Linear motors Linear motors Parameter estimation Parameter estimation Permanent magnets Permanent magnets
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| GB/T 7714 | Bao, Mingkun , Zhou, Yangzhong , Zhong, Tianyun . Mechanical Parameter Identification of Permanent Magnet Synchronous Linear Motor Based on Transmission Model Reconstruction [J]. | Proceedings of the Chinese Society of Electrical Engineering , 2024 , 44 (4) : 1597-1607 . |
| MLA | Bao, Mingkun et al. "Mechanical Parameter Identification of Permanent Magnet Synchronous Linear Motor Based on Transmission Model Reconstruction" . | Proceedings of the Chinese Society of Electrical Engineering 44 . 4 (2024) : 1597-1607 . |
| APA | Bao, Mingkun , Zhou, Yangzhong , Zhong, Tianyun . Mechanical Parameter Identification of Permanent Magnet Synchronous Linear Motor Based on Transmission Model Reconstruction . | Proceedings of the Chinese Society of Electrical Engineering , 2024 , 44 (4) , 1597-1607 . |
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永磁同步直线电机直接驱动负载存在驱动系统数学建模困难、个别频率点共振现象突出等特征,导致速度闭环控制器参数手动最佳整定困难.为解决该问题,提出了一种速度环的自调试方法.为描述个别频率点共振现象,提出虚拟双质量模型,结合q轴电流-速度频率响应数据及复向量拟合算法辨识双质量模型参数;以动子速度、弹性力、负载末端速度及动子速度误差积分值为基础,构建速度闭环的状态反馈控制策略,按照抑制共振及二阶临界阻尼原则配置反馈系数.实验结果表明,动子速度无超调且快速跟踪给定值,并能有效抑制机械共振,实现了速度环的自调试.
Keyword ：
双质量系统 双质量系统 机械共振 机械共振 永磁同步直线电机 永磁同步直线电机 状态反馈控制 状态反馈控制 频率响应 频率响应
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| GB/T 7714 | 陈浩荣 , 周扬忠 . 基于虚拟双质量模型及状态反馈的PMSLM速度环自调试方法 [J]. | 微特电机 , 2024 , 52 (12) : 37-43 . |
| MLA | 陈浩荣 et al. "基于虚拟双质量模型及状态反馈的PMSLM速度环自调试方法" . | 微特电机 52 . 12 (2024) : 37-43 . |
| APA | 陈浩荣 , 周扬忠 . 基于虚拟双质量模型及状态反馈的PMSLM速度环自调试方法 . | 微特电机 , 2024 , 52 (12) , 37-43 . |
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