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学者姓名：周扬忠
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Abstract ：
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 等. "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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Abstract ：
针对永磁同步直线伺服电机（PMSLM）传统位移控制算法中控制器系数固定带来的控制精度不足等问题，提出一种基于复合神经网络重构对象的PMSLM变参数型位移速度并行控制策略。首先，利用动子位移、线速度的误差信息设计变参数并行控制器；其次，建立含有控制对象多维信息的复合径向基神经网络观测动子位移，并得到控制对象的偏导信息；再次，基于闭环稳定条件，以周期检索的误差与控制目标的比较结果为基础，构建完整的位移速度并行控制器参数更新策略；最后，实验结果表明，该文所提控制策略能实现不同给定位移的高精度控制，且具有控制不同对象参数的泛用性。
Keyword ：
变参数 变参数 复合径向基神经网络 复合径向基神经网络 并行控制 并行控制 更新机制 更新机制 永磁同步直线电机 永磁同步直线电机
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| GB/T 7714 | 鲍明堃 , 周扬忠 . 基于复合神经网络重构对象的永磁同步直线电机变参数型位移速度并行控制 [J]. | 电工技术学报 , 2024 , 39 (08) : 2470-2484 . |
| MLA | 鲍明堃 等. "基于复合神经网络重构对象的永磁同步直线电机变参数型位移速度并行控制" . | 电工技术学报 39 . 08 (2024) : 2470-2484 . |
| APA | 鲍明堃 , 周扬忠 . 基于复合神经网络重构对象的永磁同步直线电机变参数型位移速度并行控制 . | 电工技术学报 , 2024 , 39 (08) , 2470-2484 . |
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Abstract ：
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 等. "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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Abstract ：
Since the winding and permanent magnet of bearingless flux-switching permanent magnet motors are located on the stator, the composition of the air gap magnetic field is complicated, which makes the mutual coupling problem of suspension and rotation of the motors prominent, causing the control performance of the suspension and rotation to be affected. Therefore, based on the rotor dynamics model, a decoupling control strategy based on finite element analysis (FEA) and linear active disturbance rejection theory is proposed. First, according to the structure of the motors and the FEA results, the stiffness matrix of the motor suspension plane coupling itself and its coupling with the rotation plane was obtained. Then, through rotor dynamics analysis, the kinematics model of the suspension system was obtained. Furthermore, the coupling stiffness matrix is combined with the active disturbance rejection theory to construct a decoupling control strategy for online self-tuning of key system parameters. The simulation and experimental results show that the proposed scheme has good dynamic performance and robustness while ensuring the precision of suspension control.
Keyword ：
Analytical models Analytical models Bearingless flux-switching permanent magnet motors Bearingless flux-switching permanent magnet motors Couplings Couplings decoupling control decoupling control Force Force linear active disturbance rejection linear active disturbance rejection model assistance model assistance Motors Motors rotor dynamics rotor dynamics Rotors Rotors Torque Torque Windings Windings
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| GB/T 7714 | Liang, Tongwei , Zhou, Yangzhong , Chen, Dongyuan et al. Linear Active Disturbance Rejection Decoupling Control of Bearingless Flux-Switching Permanent Magnet Motors Based on System Model Assistance [J]. | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2024 . |
| MLA | Liang, Tongwei et al. "Linear Active Disturbance Rejection Decoupling Control of Bearingless Flux-Switching Permanent Magnet Motors Based on System Model Assistance" . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2024) . |
| APA | Liang, Tongwei , Zhou, Yangzhong , Chen, Dongyuan , Lin, Jialong . Linear Active Disturbance Rejection Decoupling Control of Bearingless Flux-Switching Permanent Magnet Motors Based on System Model Assistance . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2024 . |
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Abstract ：
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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Abstract ：
It is a key to realizing stable suspension operation of bearingless motor that the rotor radial displacement information is acquired accurately. Sensor applications are sensitive to environments, limiting to scenarios, and increasing costs. Herein, a radial displacement sensorless control method in the full speed range for single-winding bearingless flux-switching permanent magnet motor is proposed. First, an eccentric modulation function is presented, and the flux linkage equation of each winding with rotor eccentricity is derived based on the air-gap magnetic field modulation theory. Therein, the phase inductance and flux are functions of the rotor displacement. Second, the bias-flux equations of the symmetric windings are deduced, and the rotor displacement observer of the medium-high speed is established based on the bias-flux amplitude. Due to flux information being difficult to extract at lowspeed, the high-frequency current signal is injected into the dT-axis of the torque plane. The rotor displacement observer of the zero-low speed is established based on the high-frequency bias-induced EMF amplitude. Besides, a novel smooth switching process is designed. Finally, the observers are analyzed, and the radial displacement sensorless control strategy is built. The experimental results verified the validity of the proposed method.
Keyword ：
high-frequency current signal injection high-frequency current signal injection magnetic field modulation magnetic field modulation radial displacement sensorless control radial displacement sensorless control Single-winding bearingless flux-switching permanent magnet motor Single-winding bearingless flux-switching permanent magnet motor symmetric windings symmetric windings
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| GB/T 7714 | Chen, Yao , Zhou, Yangzhong . Radial Displacement Sensorless Control in Full Speed Range of Single-Winding Bearingless Flux-Switching Permanent Magnet Motor [J]. | IEEE TRANSACTIONS ON ENERGY CONVERSION , 2023 , 38 (1) : 599-610 . |
| MLA | Chen, Yao et al. "Radial Displacement Sensorless Control in Full Speed Range of Single-Winding Bearingless Flux-Switching Permanent Magnet Motor" . | IEEE TRANSACTIONS ON ENERGY CONVERSION 38 . 1 (2023) : 599-610 . |
| APA | Chen, Yao , Zhou, Yangzhong . Radial Displacement Sensorless Control in Full Speed Range of Single-Winding Bearingless Flux-Switching Permanent Magnet Motor . | IEEE TRANSACTIONS ON ENERGY CONVERSION , 2023 , 38 (1) , 599-610 . |
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Abstract ：
用一台逆变器驱动两台永磁同步电机串联系统，可以通过控制不同平面的电压矢量实现对两台电机的独立解耦控制。该文提出在一台六相逆变器的六相平面和三相平面下同时注入旋转高频电压信号，通过解调静止坐标系下电流响应的负序分量来分别获得两台电机的转子初始位置角。同时为了提高观测精度，利用解调电流响应中正序分量所获得的误差角对解耦获得的转子初始位置角进行补偿。此外，对于六相串联三相永磁同步电机（PMSM）系统，考虑到系统中两台电机的浅磁饱和特性，在极性判断中利用了与传统单台永磁同步电机相反的结果来进行判断。根据该文所设计的旋转高频电压注入法，可以实现两台电机转子初始位置解耦观测。六相PMSM和三相PMSM的估计误差绝对值的平均值分别为3.72°和1.81°。最后，实验验证了所提观测算法的有效性。
Keyword ：
六相串联三相永磁同步电机(PMSM)系统 六相串联三相永磁同步电机(PMSM)系统 旋转高频电压 旋转高频电压 浅磁饱和 浅磁饱和 解耦观测 解耦观测 转子初始位置 转子初始位置
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| GB/T 7714 | 陈涛 , 周扬忠 , 屈艾文 et al. 基于旋转高频电压注入的六相串联三相永磁同步电机系统转子初始位置解耦观测 [J]. | 电工技术学报 , 2023 , 38 (08) : 2073-2085 . |
| MLA | 陈涛 et al. "基于旋转高频电压注入的六相串联三相永磁同步电机系统转子初始位置解耦观测" . | 电工技术学报 38 . 08 (2023) : 2073-2085 . |
| APA | 陈涛 , 周扬忠 , 屈艾文 , 钟天云 . 基于旋转高频电压注入的六相串联三相永磁同步电机系统转子初始位置解耦观测 . | 电工技术学报 , 2023 , 38 (08) , 2073-2085 . |
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Abstract ：
无轴承电机在悬停及启动过程始终需要保持稳定悬浮，准确获取转子径向位移信息是控制转子稳定悬浮的关键，传感器的使用易受环境影响，降低系统可靠性，并且增加系统成本。针对电机悬停及启动过程，提出一种基于高频电流注入的无径向位移传感器控制方法。首先，基于电机电感数学模型，建立当转矩平面注入高频旋转电流信号后，空间对称绕组中有效高频偏差电势幅值与转子径向位移的关系；接着，利用线性正弦跟踪器提取有效高频偏差电势幅值；然后，基于上述电势幅值与转子径向位移关系，构建转子径向位移观测器；最后，将观测位移与自抗扰控制策略相结合，构建高性能的无径向位移传感器控制策略。理论分析与实验结果验证所提方法的有效性。
Keyword ：
单绕组无轴承磁通切换电机 单绕组无轴承磁通切换电机 无径向位移传感器控制 无径向位移传感器控制 线性正弦跟踪器 线性正弦跟踪器 高频电流注入 高频电流注入
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| GB/T 7714 | 陈垚 , 周扬忠 . 高频电流注入单绕组无轴承磁通切换电机悬停及启动过程的无径向位移传感器控制 [J]. | 中国电机工程学报 , 2023 , 43 (08) : 3204-3217 . |
| MLA | 陈垚 et al. "高频电流注入单绕组无轴承磁通切换电机悬停及启动过程的无径向位移传感器控制" . | 中国电机工程学报 43 . 08 (2023) : 3204-3217 . |
| APA | 陈垚 , 周扬忠 . 高频电流注入单绕组无轴承磁通切换电机悬停及启动过程的无径向位移传感器控制 . | 中国电机工程学报 , 2023 , 43 (08) , 3204-3217 . |
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Abstract ：
A bearingless motor needs to keep stable suspension during standstill and startup processes, and accurate information detection of the radial displacement of the rotor is a key for the stable suspension operation. However, sensor applications are sensitive to environments, thus reducing system reliability, and increasing costs. A novel radial displacement sensorless control method with high-frequency current injection for single-winding bearingless flux-switching permanent magnet motor is proposed to address the stable suspension sensorless control during startup. First, based on the mathematical model of inductance, the relationship between the amplitude of the effective high-frequency bias-EMF and rotor radial displacement is established with the high-frequency rotating current injected into the torque plane. The amplitude of the effective high-frequency bias-EMF is extracted by the linear sinusoidal tracker. Thereafter, based on the relationship between the amplitude of the bias-EMF and rotor radial displacement, a rotor radial displacement observer is constructed. Finally, combining the observed displacement with the active disturbance rejection control method, a high-performance control strategy with radial displacement sensorless control strategy is constructed. The theoretical analysis and experimental results verify the validity of the proposed method. ©2023 Chin.Soc.for Elec.Eng.
Keyword ：
high-frequency current injection high-frequency current injection linear sinusoidal tracker linear sinusoidal tracker radial displacement sensorless control radial displacement sensorless control single-winding bearingless flux-switching permanent magnet motor single-winding bearingless flux-switching permanent magnet motor
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| GB/T 7714 | Chen, Y. , Zhou, Y. . Radial Displacement Sensorless Control with High Frequency Current Injection of Single-winding Bearingless Flux-switching PM Motor During Standstill and Startup; [高频电流注入单绕组无轴承磁通切换电机悬停及启动过程的无径向位移传感器控制] [J]. | Proceedings of the Chinese Society of Electrical Engineering , 2023 , 43 (8) : 3204-3216 . |
| MLA | Chen, Y. et al. "Radial Displacement Sensorless Control with High Frequency Current Injection of Single-winding Bearingless Flux-switching PM Motor During Standstill and Startup; [高频电流注入单绕组无轴承磁通切换电机悬停及启动过程的无径向位移传感器控制]" . | Proceedings of the Chinese Society of Electrical Engineering 43 . 8 (2023) : 3204-3216 . |
| APA | Chen, Y. , Zhou, Y. . Radial Displacement Sensorless Control with High Frequency Current Injection of Single-winding Bearingless Flux-switching PM Motor During Standstill and Startup; [高频电流注入单绕组无轴承磁通切换电机悬停及启动过程的无径向位移传感器控制] . | Proceedings of the Chinese Society of Electrical Engineering , 2023 , 43 (8) , 3204-3216 . |
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To address the problems of traditional model predictive direct torque control strategy, such as low computational efficiency, high voltage jump and poor steady-state characteristics, an improved model predictive direct torque control strategy is proposed. To improve the steady-state characteristics of the motor, 36 virtual voltage vectors are constructed based on the principle of the nearest three vectors. The action time of redundant vectors in the virtual voltage vector is adjusted by combining the principle of no beat. To prevent excessive voltage jump in the output line of the inverter from causing adverse effects on the motor, only voltage vectors with voltage jump not exceeding Udc / 2 are selected as alternative voltage vectors. Meanwhile, the reference voltage vector is predicted by combining the model with the deadbeat principle, and the voltage vector located in the same sector as the reference voltage vector is selected as the final candidate vector set. Compared with traditional control strategies under rated operating conditions, the experimental results show that the improved control strategy reduces the electromagnetic torque, stator flux amplitude error, and current harmonic distortion rate by 37. 42%, 32. 00%, and 44. 52%, respectively. The program execution time is reduced by approximately 11. 52% . © 2023 Science Press. All rights reserved.
Keyword ：
computing efficiency computing efficiency jump of voltage jump of voltage model predictive direct torque control model predictive direct torque control permanent magnet synchronous motor permanent magnet synchronous motor steady state performance steady state performance T-type three-level inverter T-type three-level inverter
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| GB/T 7714 | Zheng, W. , Zhou, Y. , Zhong, T. et al. Model predictive instantaneous torque control of permanent magnet synchronous motor based on finite voltage vector set optimization; [基于扩充虚拟矢量的永磁同步电动机模型预测直接转矩控制] [J]. | Chinese Journal of Scientific Instrument , 2023 , 44 (7) : 296-304 . |
| MLA | Zheng, W. et al. "Model predictive instantaneous torque control of permanent magnet synchronous motor based on finite voltage vector set optimization; [基于扩充虚拟矢量的永磁同步电动机模型预测直接转矩控制]" . | Chinese Journal of Scientific Instrument 44 . 7 (2023) : 296-304 . |
| APA | Zheng, W. , Zhou, Y. , Zhong, T. , Qu, A. . Model predictive instantaneous torque control of permanent magnet synchronous motor based on finite voltage vector set optimization; [基于扩充虚拟矢量的永磁同步电动机模型预测直接转矩控制] . | Chinese Journal of Scientific Instrument , 2023 , 44 (7) , 296-304 . |
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