感应电机矢量控制与直接转矩控制系统的低速性能对比

本文详细分析了感应电机矢量控制和直接转矩控制系统的基本原理。在此基础上,基于matlab6.5／simulink分别建立了基于转子磁场定向的矢量控制系统和基于U—I模型的直接转矩控制系统的仿真模型。仿真研究了定子电阻、转于电阻变化对这两种控制系统低速性能的影响。并进行了对比分析。仿真结果表明,直接转矩控制系统具有更快的转矩响应,转子电阻对矢量控制系统影响较大,而定子电阻对基于U—I模型的直接转矩控制系统的影响较大。     

基于滑模变结构的高速同步电机直接转矩控制

针对高速同步电机,文章研究了基于滑模变结构的无传感器直接转矩控制。该控制方式将滑模变结构和直接转矩控制相结合,用以改善电机定子磁链和电磁转矩的脉动。本文对基于滑模变结构的无传感器高速同步电机直接转矩控制和传统直接转矩控制系统性能中的定子电流、电磁转矩和定子磁链轨迹分别进行了仿真对比分析。仿真结果表明,采用基于滑模变结构的无传感器直接转矩控制方式可以减小定子电流和电磁转矩的脉动,定子磁链频带宽度变化较小,适合对高速同步电机控制。     

基于电阻压降补偿的直接转矩控制的研究

本文分析了异步电动机直接转矩控制的基本原理,完成基于空间电压矢量控制技术(SVPWM)的异步电机直接转距控制的MATLAB/SIMULINK仿真研究,并对低速时异步电动机性能进行了简单分析,采用定子电阻压降补偿来减小磁链轨迹的畸变,得到了较好的控制效果。     

异步电动机直接转矩控制中的死区效应的仿真研究

逆变器是直接转矩控制系统主电路中的关键部件。逆变器死区的设置虽然防止了逆变器器件的直通,同时也带来了死区效应,特别是对直接转矩控制系统的影响更是明显。本文通过分析异步电动机直接转矩控制系统中死区的生成及死区对电动机和整个系统的影响,定义了偏差电压矢量,并在此基础上,提出了一种死区补偿分析算法。该方法不需附加硬件,只需对原控制软件进行修改。仿真结果显示,在直接转矩控制系统中加入死区补偿,能有效改进电动机定子电流波形,使转矩脉动减小,整个系统的运行性能得到了一定的改善。     

按定子磁场定向控制系统中定子电阻的影响分析

在研究按定子磁场定向控制系统中，采用定子磁链观测器控制磁链，认为定子电阻是恒定不变的。而在实际电机运行过程中定子电阻由于发热等条件因素的影响会一直变化。本文通过讨论定子电阻的变化对控制系统性能的影响的理论分析，指出定子电阻在按定子磁场定向的控制系统中低频时对系统影响较大，同时应用Matlab的simulink进行模仿定子电阻变化相关仿真。     

异步电机DTC系统脉动最小化研究

直接转矩控制具有控制简单、动态响应迅速、对参数变化鲁棒性强的特点,因此得到了广泛的应用。在传统的异步电动机直接转矩控制系统中,存在电压空间矢量对定子磁链幅值和磁通角的影响,特别是低速时系统脉动大。针对此问题,文章提出了一种的新的控制方法,该方法将磁链区间细分控制与电压矢量合成结合在一起,并通过引入模糊控制算法进一步提高了转矩响应时间,且减小了转矩脉动。仿真结果表明,本控制方法可以大大减小转矩脉动,具有较好的动静态性能。     

基于ESO磁链观测器的直接转矩控制的研究

讨论直接转矩控制方法在永磁同步电机中的应用问题,利用MATLAB仿真工具对永磁同步电机直接转矩控制系统仿真。针对直接转矩控制低速时存在较大转矩脉动的问题,采用观测器方法克服传统磁链模型中参数的不确定性对磁链观测精度的影响,保证全速范围内磁链的准确估计,提高控制性能。仿真表明观测磁链具有较高的精度,对电阻的不确定变化具有较强的鲁棒性,并可准确估计无速度传感器的速度及位置。     

基于ESO磁链观测器的直接转矩控制的研究

讨论直接转矩控制方法在永磁同步电机中的应用问题,利用MATLAB仿真工具时永磁同步电机直接转矩控制系统仿真.针对直接转矩控制低速时存在较大转矩脉动的问题,采用观测器方法克服传统磁链模型中参数的不确定性对磁链观测精度的影响.保证全速范围内磁链的准确估计.提高控制性能.仿真表明观测磁链具有较高的精度,对电阻的不确定变化具有较强的鲁棒性.并可准确估计无速度传感器的速度及位置.     

三相异步电机直接转矩控制的圆形磁链研究

该文以异步电动机直接转矩控制基本原理为基础,利用Matlab/Simulink完成直接转矩控制系统近似圆形磁链控制方法的仿真。采用全速范围内的电机模型,利用S函数判断扇区位置,以离散型开关变量产生PWM波,并通过改变转速给定值,得出在不同给定条件下的仿真结果,并用滤波器对定子电流进行滤波,最后对仿真结果进行了具体分析。这对中小功率电机控制系统实际开发应用等方面有一定的实用价值。     

异步电机定子磁链定向控制下的转矩控制鲁棒性

对异步电机定子磁链定向控制下的转矩控制鲁棒性进行了分析，在采用在线自校正电机定子电阻技术的情况下，仿真结果表明，即使转子时间常数变化了1～3.1倍，转矩闭环调节的鲁棒性表现良好。     

PI and fuzzy estimators for tuning the stator resistance in directtorque control of induction machines

Direct torque control (DTC) of induction machines uses the stator resistance of the machine for estimation of the stator flux. Variations of stator resistance due to changes in temperature or frequency make the operation of DTC difficult at low speeds. A method for the estimation of changes in stator resistance during the operation of the machine is presented. The estimation method is implemented using proportional-integral (PI) control and fuzzy logic control schemes. The estimators observe the machine stator current vector to detect the changes in stator resistance. The performance of the two methods are compared using simulation and experimental results. Results obtained have shown improvement in DTC at low speeds     

Problems associated with the direct torque control of an interior permanent-magnet synchronous motor drive and their remedies

This paper investigates problems associated with the implementation of a direct torque control (DTC) strategy for an interior permanent-magnet synchronous motor drive. The DTC technique is increasingly drawing attention because of elimination of current controllers and, hence, their inherent delays, and elimination of the rotor position sensor. The latter advantage perhaps is the main impetus for considering this new approach of torque control. Problems associated with this controller, namely, the offset in the current measurements, the stator resistance variation, and the requirement of initial rotor position are addressed in this paper. Ways of mitigating of these problems are also investigated in this paper. These are evaluated with modeling and experimental studies, results of which are also presented.     

Hybrid Cascaded H-Bridge Multilevel-Inverter Induction-Motor-Drive Direct Torque Control for Automotive Applications

This paper presents a hybrid cascaded H-bridge multilevel motor drive direct torque control (DTC) scheme for electric vehicles (EVs) or hybrid EVs. The control method is based on DTC operating principles. The stator voltage vector reference is computed from the stator flux and torque errors imposed by the flux and torque controllers. This voltage reference is then generated using a hybrid cascaded H-bridge multilevel inverter, where each phase of the inverter can be implemented using a dc source, which would be available from fuel cells, batteries, or ultracapacitors. This inverter provides nearly sinusoidal voltages with very low distortion, even without filtering, using fewer switching devices. In addition, the multilevel inverter can generate a high and fixed switching frequency output voltage with fewer switching losses, since only the small power cells of the inverter operate at a high switching rate. Therefore, a high performance and also efficient torque and flux controllers are obtained, enabling a DTC solution for multilevel-inverter-powered motor drives.      

An improved DTC-SVM method for matrix converter drives using a deadbeat scheme

In this paper, a simple direct torque control (DTC) method for sensorless matrix converter drives is proposed, which is characterized by a simple structure, minimal torque ripple and unity input power factor. Also, a good sensorless speed-control performance in the low speed operation is obtained, while maintaining constant switching frequency and fast torque dynamics. It is possible to combine the advantages of matrix converters with the advantages of the DTC strategy using space vector modulation a deadbeat algorithm in the stator flux reference frame. Experimental results are shown to illustrate the feasibility of the proposed strategy.     

基于SVPWM的永磁同步电动机直接转矩控制

针对永磁同步电动机直接转矩控制系统转矩和定子磁链脉动问题,采用电压空间矢量脉宽调制(SVPWM)的永磁同步电动机直接转矩控制方法。根据在每一个控制周期内,计算出参考磁链和所估计磁链的偏差,选择相邻非零矢量和零矢量,并精确地计算出各自的作用时间,然后利用线性组合法将其合成为新的电压矢量。仿真结果表明,所提出的控制方案是有效的,明显地改善转矩和磁链脉动,并且有很好的动态和稳态性能。     

Direct torque control of an induction motor using a single current sensor

A novel scheme for the direct torque control (DTC) of an induction motor (IM) is proposed, which uses a single sensor of current inserted in the inverter dc link. The rationale behind the proposal is to develop a low-cost but high performance IM drive. The scheme exploits a simple and robust algorithm to reconstruct the stator currents needed to estimate the motor flux and torque. The algorithm operates in two stages: first, it predicts the stator currents from a model of the motor and then adjusts the prediction on the basis of the sensed dc-link current. Experimental results are given to demonstrate the ability of the scheme in reproducing the performance of a traditional DTC IM drive.     

Tuning the stator resistance of induction motors using artificialneural network

Tuning the stator resistance of induction motors is very important, especially when it is used to implement direct torque control (DTC) in which the stator resistance is a main parameter. In this paper, an artificial network (ANN) is used to accomplish tuning of the stator resistance of an induction motor. The parallel recursive prediction error and backpropagation training algorithms were used in training the neural network for the simulation and experimental results, respectively. The neural network used to tune the stator resistance was trained on-line, making the DTC strategy more robust and accurate. Simulation results are presented for three different neural-network configurations showing the efficiency of the tuning process. Experimental results were obtained for one of the three neural-network configurations. Both simulation and experimental results showed that the ANN have tuned the stator resistance in the controller to track actual resistance of the machine     

Implementation of a direct control algorithm for induction motorsbased on discrete space vector modulation

The basic concept of direct torque control of induction machines is investigated in order to emphasize the effects produced by a given voltage vector on stator flux and torque variations. The low number of voltage vectors which can be applied to the machine using the basic DTC scheme may cause undesired torque and current ripple. An improvement of the drive performance can be obtained using a new DTC algorithm based on the application of the space vector modulation (SVM) for prefixed time intervals. In this way a sort of discrete space vector modulation (DSVM) is introduced. Numerical simulations and experimental tests have been carried out to validate the proposed method     

Analysis of direct torque control in permanent magnet synchronousmotor drives

This paper describes an investigation of direct torque control (DTC) for permanent magnet synchronous motor (PMSM) drives. It is mathematically proven that the increase of electromagnetic torque in a permanent magnet motor is proportional to the increase of the angle between the stator and rotor flux linkages, and, therefore, the fast torque response can be obtained by adjusting the rotating speed of the stator flux linkage as fast as possible. It is also shown that the zero voltage vectors should not be used, and stator flux linkage should be kept moving with respect to the rotor flux linkage all the time. The implementation of DTC in the permanent magnet motor is discussed, and it is found that for DTC using available digital signal processors (DSPs), it is advantageous to have a motor with a high ratio of the rated stator flux linkage to stator voltage. The simulation results verify the proposed control and also show that the torque response under DTC is much faster than the one under current control     

A MRAS-based adaptive pseudoreduced-order flux observer for sensorless induction motor drives

The performance of vector-controlled sensorless induction motor drives is generally poor at very low speeds, especially at zero speed due to offset and drift components in the acquired feedback signals, and the increased sensitivity of dynamic performance to model parameter mismatch resulting especially from stator resistance variations. The speed estimation is adversely affected by stator resistance variations due to temperature and frequency changes. This is particularly significant at very low speeds where the calculated flux deviates from its set values. Therefore, it is necessary to compensate for the parameter variation in sensorless induction motor drives, particularly at very low speeds. This paper presents a novel method of estimating both the shaft speed and stator resistance of an induction motor. In this novel scheme, an adaptive pseudoreduced-order flux observer (APFO) is developed. In comparison to the adaptive full-order flux observer (AFFO), the proposed method consumes less computational time, and provides a better stator resistance estimation dynamic performance. Both simulation and experimental results confirm the superiority of the proposed APFO scheme for a wide range of resistance variations from 0 to 100%.