永磁电机在铁路机车牵引领域的应用

对永磁同步牵引电机和异步牵引电机进行了技术比较,介绍了国内外有关研发直接驱动式和全封闭式永磁电动机的概况,分析了永磁同步电机在铁路牵引应用中的发展前景及面临的主要问题。     

提高稀土永磁同步电动机力能指标的研究

稀土永磁同步电动机是一种超高效节能电机 ,我所生产的XYT系列稀土永磁同步电动机其效率超过美国高效电动机的标准。从原理上讲 ,稀土永磁同步电动机要比感应式异步电动机损耗小、效率高 ;但若缺少合理的设计方案、得当的工艺措施、以及优质的电磁材料同样生产不出高品质的产品 ,本文就此加以讨论     

提高稀土永磁同步电动机力能指标的研究

稀土永磁同步电动机是一种超高效节能电机，我所生产的XYT系列稀土永磁同步电动机其效率超过美国高效电动机的标准。从原理上讲，稀土永磁同步电动机要比感应式异步电动机损耗小、效率高；但若缺少合理的设计方案、得当的工艺措施、以及优质的电磁材料同样生产不出高品质的产品，本文就此加以讨论。     

大型异同步电动机再制造成自起动永磁同步电机技术研究

对大型异同步电动机应用中存在的转子励磁系统损耗大、滑环故障率高等问题,提出仅对其转子进行改造,将其再制造成自起动永磁电机。以一台630k W-36P的异同步电机为例,通过等效安匝数原理将原电机转子直流励磁安匝数等效成永磁体激磁磁势,利用商业软件对等效永磁激励条件下的纹波转矩、气隙磁密波形、转速稳定性及运行效率等进行了仿真。结果表明,再制造后自起动永磁电机保留了原异同步电动机的优点,且效率和功率因数以及起动能力,都具有显著的提高,具有重要的工程实践和节能改造价值。     

不同槽型对海浪发电用永磁直线同步发电机的影响研究

针对海浪发电机采用永磁直线同步发电系统会引起电机严重振动进而发生永磁体断裂的问题,基于直线电机与永磁电机理论,分析了两种槽型对海浪发电用永磁直线同步发电机的电磁力的影响,通过仿真计算确定了采用开槽结构进一步优化电机结构,使海浪发电为用永磁直线同步发电机齿槽力最小。     

抽油机用永磁同步电动机的研制及应用

针对目前永磁电动机在抽油机上使用存在的问题，我们联合研发了新一代适应抽油机工况的永磁电动机。本文介绍了抽油机用永磁同步电动机改进的创新点；通过室内、外试验，且与其他永磁电动机的比较证明了抽油机用永磁同步电动机的性能、特点都能满足抽油机的使用要求；在抽油机上使用具有很好的节能效果。     

基于永磁同步电机逆系统解耦模糊滑模控制

基于逆系统理论和模糊滑模控制方法对永磁同步电动机调速系统进行了解耦控制研究,提出了一种新型的模糊推理滑模控制策略。根据永磁同步电动机调速系统的动态数学模型,证明了其逆系统的存在性,给出了永磁同步电动机逆系统解耦的模糊滑模控制器设计方法,系统仿真结果表明,该控制策略在不加剧滑动模态抖动的前提下,有效增强了系统的抗负载扰动能力,改善了永磁同步电动机系统的控制性能。     

基于自抗扰控制器的直驱式永磁同步风电系统双PWM控制

针对直驱式永磁同步风力发电机组,分别设计了电机侧和电网侧的变换器自抗扰控制器,从而实现在额定风速以下对电机侧的最大风能跟踪控制、电网侧直流电容电压恒定控制。与常规PI控制器相比,采用自抗扰控制器的直驱动式永磁同步发电系统,能够实现对指令转速快速及无超调跟踪、有效抑制风速变化及电网电压扰动对电容电压的影响,具有较为优秀的控制性能。     

永磁同步电动机在油田抽油机中的应用与节能分析

通过永磁同步电动机相对异步电动机所具有的一些良好特性结合在油田的实际应用情况 ,对节能方面及目前存在的一些问题进行了分析     

小型风力发电机电磁设计特点

文章分析了小型风电机组用的永磁同步发电机的电磁设计特点,并与其他普通永磁电机区别,详细介绍了永磁同步发电机各个电磁参数的特点以及对发电机性能的影响。重点介绍永磁同步发电机定子、转子设计的特点,对不同的极数与槽数的配合进行对比分析,总结降低齿槽转矩的规律。     

Slotless permanent magnet synchronous motor operation without ahigh resolution rotor angle sensor

An implementation for sinusoidal current control of a slotless permanent magnet synchronous motor (PMSM) with discrete Hall sensor position feedback is presented. To estimate the rotor position of the slotless PMSM, a flux estimation technique is used that takes advantage of the slotless machine's characteristically low inductance to limit flux estimation error. The rotor position is estimated using a reference model and the measured phase currents and voltages. At startup and very low speeds, discrete Hall sensors are used to limit the position estimation error to approximately ±30 electrical degrees and to prevent the flux estimators from drifting due to measurement noise and offset. The proposed sinusoidal control method reduces the torque pulsations present when Hall sensor position feedback alone is used and eliminates the need for high-resolution rotor angle sensors. The proposed control strategy is applied to a slotless PMSM drive system and implemented using a digital signal processor (DSP). Experiments are carried out for the system and the results demonstrate the effectiveness of the control     

An approach to sensorless operation of the permanent-magnet synchronous motor using diagonally recurrent neural networks

Due to the drawbacks associated with the use of rotor position sensors in permanent-magnet synchronous motor (PMSM) drives, there has been significant interest in the so-called rotor position sensorless drive. Rotor position sensorless control of the PMSM typically requires knowledge of the PMSM structure and parameters, which in some situations are not readily available or may be difficult to obtain. Due to this limitation, an alternative approach to rotor position sensorless control of the PMSM using a diagonally recurrent neural network (DRNN) is considered. The DRNN, which captures the dynamic behavior of a system, requires fewer neurons and converges quickly compared to feedforward and fully recurrent neural networks. This makes the DRNN an ideal choice for implementation in a real-time PMSM drive system. A DRNN-based neural observer, whose architecture is based on a successful model-based approach, is designed to perform the rotor position estimation on the PMSM. The advantages of this approach are discussed and experimental results of the proposed system are presented.     

Sensorless direct torque control for salient-pole PMSM based on extended Kalman filter fed by AC/DC/AC converter

In this paper, a new sensorless interior permanent magnet synchronous motor (IPMSM) drives method with extended Kalman filter (EKF) for speed, rotor position and load torque estimation is proposed. The direct torque control (DTC) technique for permanent magnet synchronous motor (PMSM) is receiving increasing attention due to the important advantages of the low dependence on motor parameters when compared with other motor control techniques. The Kalman filter is an observer for linear and non-linear systems and is based on the stochastic intromission, in others words, noise. The PMSM is fed by an indirect power electronic converter which is controlled by a sliding mode technique. The simulation tests performed for different operating conditions have confirmed the robustness of the overall system; and it is shown that the sliding mode technique has successfully minimized the different harmonics introduced by the line converter.     

An improved efficiency of fuzzy sliding mode control of permanent magnet synchronous motor for wind turbine generator pumping system

This paper presents an analysis by which the dynamic performances of a permanent magnet synchronous motor (PMSM) motor is controlled through a hysteresis current loop and an outer speed loop with different controllers. The dynamics of the wind turbine pumping drive system with (PI) and a fuzzy sliding mode (FSM) speed controllers are presented. In order to optimize the overall system efficiency, a maximum power point tracker is also used. Simulation is carried out by formatting the mathematical model for wind turbine generator, motor and pump load. The results for such complicated and nonlinear system, with fuzzy sliding mode speed controller show improvement in transient response of the PMSM drive over conventional PI. The effectiveness of the FSM controller is also demonstrated.     

Electric propulsion with the sensorless permanent magnet synchronous motor: model and approach

In this paper, a rotor position estimator for the sensorless permanent magnet synchronous motor (PMSM) is developed. The proposed approach exploits the time-scale separation between the electrical and mechanical time constant of the PMSM to formulate a linear observer. The observer produces accurate rotor angle estimates in steady-state and transient, and is attractive for electric propulsion applications due to its independence from mechanical parameters such as load torque, inertia, and friction. The sensorless strategy is well-suited to the nonsaturating slotless PMSM, but the demonstrated robustness of the observer to modeling uncertainties allows for application to slotted construction as well. Experiments are conducted to confirm the effectiveness of the proposed approach.     

Electric Propulsion With Sensorless Permanent Magnet Synchronous Motor: Implementation and Performance

There has recently been considerable interest in using the sensorless permanent magnet synchronous motor (PMSM) for vehicle propulsion systems. While many sensorless PMSM techniques have been presented in the literature, few have discussed in detail the underlying hardware and implementation issues. This work focuses on the implementation and application of a sensorless PMSM strategy that is particularly well suited for vehicle propulsion systems. The selected sensorless PMSM technique is implemented in a real-time motor control system to form a sensorless electric drive prototype. The hardware, strategy and implementation issues associated with the development of the sensorless drive are discussed. Experimental results are included in order to demonstrate the robustness of the implementation and the effectiveness of the sensorless drive under transient operating conditions such as startup and speed reversal.     

On-line adaptive artificial neural network based vector control ofpermanent magnet synchronous motors

This paper presents a novel approach of speed control for a permanent magnet synchronous motor (PMSM) using on-line self tuning artificial neural network (ANN). Based on motor dynamics and nonlinear load characteristics, an ANN speed controller is developed and integrated with the vector control scheme of the PMSM drive. The combined use of off-line and on-line weights and biases adjustments offers a unique feature of on-line system identification and precise speed control of a high performance PMSM drive. The complete drive system is implemented in real time using a digital signal processor controller board-DS1102 on a laboratory 1 HP PMSM. Using the experimental setup, the performances of the proposed drive system are evaluated under various operating conditions. The test results validate the efficacy of the ANN for precise speed control of the PMSM drive. Furthermore, the use of ANN makes the drive system robust, accurate and insensitive to parameter variations     

A fuzzy global efficiency optimization of a photovoltaic water pumping system

This paper presents an on-line fuzzy optimization of the global efficiency of a photovoltaic water pumping system driven by a separately excited DC motor (DCM), a permanent magnet synchronous motor (PMSM), or an induction motor (IM), coupled to a centrifugal pump.The fuzzy optimization procedure stated above, which aims to the maximization of the global efficiency, will lead consequently to maximize the drive speed and the water discharge rate of the coupled centrifugal pump. The proposed solution is based on a judicious fuzzy adjustment of a chopper ratio which adapts on-line the load impedance to the photovoltaic generator (PVG). Simulation results show the effectiveness of the drive system for both transient and steady state operations. Hence it is suitable to use this fuzzy logic procedure as a standard optimization algorithm for such photovoltaic water pumping drives.     

Speed ripple minimization in PM synchronous motor using iterative learning control

Permanent-magnet synchronous motor (PMSM) drives are widely used for high-performance industrial servo applications where torque smoothness is an essential requirement. However, one disadvantage of PMSM is parasitic torque pulsations, which induce speed oscillation that deteriorates the drive performance particularly at low-speeds. To suppress these speed ripples, two iterative learning control (ILC) schemes implemented in the time domain and frequency domain respectively are proposed in this paper. Although a conventional proportional-integral (PI) speed controller does suppress speed ripples to a certain extent, it is not adequate for many high performance applications. Thus, the proposed plug-in ILC controller is applied in conjunction with a PI speed controller to further reduce the periodic speed ripples. Experimental verification of the two schemes is carried out, and test results obtained demonstrate that the scheme implemented in frequency domain has better performance in reducing speed ripples than that implemented in time domain because of the elimination of forgetting factor that is indispensable for robustness in time domain learning method.     

矩阵变换器在永磁交流伺服系统中的应用研究

本文介绍了矩阵变换器的双空间矢量脉宽调制技术,建立了永磁同步电机转子磁场定向的矢量控制模型,提出了基于矩阵变换器的永磁同步电机交流伺服系统研究.利用数字信号处理器TMS320LF2407A实现了矩阵变换器在永磁电机伺服系统中的控制,阐述了交流伺服系统的双闭环解耦控制方案和软、硬件设计方案.