基于DSP的感应电机直接转矩控制研究

在传统的异步电机直接转矩控制中,在低速时的转矩波动会使控制系统性能变差.这里采用高性能的磁链观测器来准确观测磁链,并且采用转矩与磁链双层滞环比较器来优化改进开关选择表.仿真与实验结果证明本文的控制方案能有效降低低速时的转矩波动.     

基于DSP的感应电机数字控制系统设计

数字信号处理芯片TMS320F240是针对电机、运动控制的专用DSP控制器。利用控制器DSP(TMS320F240)实现感应电机直接转矩控制系统的全数字化,对控制系统的硬件包括外围接口进行了设计,并用DSP汇编语言进行了软件编程设计。通过试验证明了系统设计的正确性。实验结果表明:系统具有优越动态和静态性能。     

基于双DSP的牵引电机控制系统硬件实现

磁场定向、直接转矩等高性能的交流电机控制方式若能成功应用到交流传动电力机车上，将使机车的性能得到显著提高。本文介绍了一种采用两个高速数字信号处理器为主构成的双DSP全数字化电机控制系统。对整个电机传动系统做了介绍，对控制系统硬件设计做了详细阐述。     

基于DSP的直接转矩控制系统的设计与实现

开发了一种基于TMS320F240DSP实现电机交流调速的直接转矩控制系统,介绍了系统的设计方案和软硬件的实现方法。实验结果表明,系统具有良好的性能。     

基于DSP的感应电动机转差型矢量控制系统

本文介绍了TMS320LF2407数字信号处理器的结构特点以及转差型矢量控制的实现方法，给出了基于DSP的矢量控制系统结构以及软件沈程图。     

基于SVPWM的感应电机直接转矩控制系统的研究

针对传统的直接转矩控制转矩脉动大、开关频率不恒定等问题,提出了一种基于SVPWM技术的新型直接转矩控制系统,并利用MATLAB/SIMULINK仿真软件建立了系统模型。系统采用PI控制器调节磁链和转矩,可以得到能够准确补偿磁链和转矩的参考电压矢量。逆变器的开关状态由SVPWM控制,可以保持逆变器开关频率恒定。实验结果表明该设计是正确的,并能有效的减小磁链和转矩脉动,保持开关频率固定,改善控制系统的性能。     

基于DSP的直接转矩控制系统研究

针对矢量控制中计算控制复杂、特性易受电动机参数变化影响的问题,用浅显易懂的语言描述了复杂繁琐的直接转矩控制理论,分析了磁链调节器和转矩调节器的构成以及它们之间协调工作,决定逆变器开关的特点。介绍了美国TI公司的电机控制专用DSP芯片TMS320LF2407A,并对基于该芯片的直接转矩控制系统的软硬件实现进行了阐述,对实验结果进行了简单分析。实际结果表明,该控制方法对电机参数依赖性小、动态性能好、鲁棒性强,是切实可行的。     

基于TMS320F240的直接转矩控制系统的设计

本文介绍了以DSP芯片TMS320F240为核心的交流电机全数字直接转矩控制器的设计,给出了系统的设计原理、电路组成。     

基于DSP无速度传感器直接转矩控制系统的研究

直接转矩控制(Direct torque control)是一种新型的高性能的交流调速控制技术。本文介绍了异步电动机直接转矩控制的基本原理,给出了控制系统的设计方案和硬软件的实现方法。     

模糊直接转矩控制系统MATLAB／SIMULINK仿真

文章采用MATLAB5.2／SIMULINK建立模糊直接转 控制系统的仿真模型,介绍了用SIMULINK软件进行封装、S函数设计及用模糊工具箱设计模糊控制器的方法,并通过仿真结果验证了此模型的正确性。     

Design of a novel adaptive TSK-fuzzy speed controller for use in direct torque control induction motor drives

This study proposes an adaptive Takagi-Sugeno-Kang-fuzzy (TSK-fuzzy) speed controller (ATFSC) for use in direct torque control (DTC) induction motor (IM) drives to improve their dynamic responses. The proposed controller consists of the TSK-fuzzy controller, which is used to approximate an ideal control law, and a compensated controller, which is constructed to compensate for the difference between the TSK-fuzzy controller and the ideal control law. Parameter variations and external load disturbances were considered during the design phase to ensure the robustness of the proposed scheme. The parameters of the TSK-fuzzy controller were adjusted online based on the adaptive rules derived in Lyapunov stability theory. The ATFSC, fuzzy control, and PI control schemes were experimentally investigated, using the root mean square error (RMSE) performance index to evaluate each scheme. The robustness of the proposed ATFSC was verified using simulations and experiments, which involved varying parameters and external load disturbances. The experimental results indicate that the ATFSC scheme outperformed the other control schemes.     

Predictive direct torque control with reduced ripples for induction motor drive based on T‐S fuzzy speed controller

Finite‐state model predictive control (FS‐MPC) has been widely used for controlling power converters and electric drives. Predictive torque control strategy (PTC) evaluates flux and torque in a cost function to generate an optimal inverter switching state in a sampling period. However, the existing PTC method relies on a traditional proportional‐integral (PI) controller in the external loop for speed regulation. Consequently, the torque reference may not be generated properly, especially when a sudden variation of load or inertia takes place. This paper proposes an enhanced predictive torque control scheme. A Takagi‐Sugeno fuzzy logic controller replaces PI in the external loop for speed regulation. Besides, the proposed controller generates a proper torque reference since it plays an important role in cost function design. This improvement ensures accurate tracking and robust control against different uncertainties. The effectiveness of the presented algorithms is investigated by simulation and experimental validation using MATLAB/Simulink with dSpace 1104 real‐time interface.     

一种改进的异步电动机直接转矩控制方法

针对传统异步电动机直接转矩控制方法转矩及磁链脉动大、开关频率不固定的缺点,提出了一种改进的异步电动机空间矢量调制直接转矩控制方法。该方法通过转矩角闭环控制实现定子磁链幅值和相角的解耦,从而获得参考电压空间矢量,实现对磁链误差和转矩误差的控制。仿真结果表明,该方法有效地克服了传统直接转矩控制方法的缺陷,获得了良好的动态响应性能。     

A novel fuzzy direct torque control system for three-level inverter-fed induction machine

Diode clamped multi-level inverter (DCMLI) has a wide application prospect in high-voltage and adjustable speed drive systems due to its low stress on switching devices, low harmonic output, and simple structure. However, the problem of complexity of selecting vectors and capacitor voltage unbalance needs to be solved when the algorithm of direct torque control (DTC) is implemented on DCMLI. In this paper, a fuzzy DTC system of an induction machine fed by a three-level neutral-point-clamped (NPC) inverter is proposed. After introducing fuzzy logic, optimal selecting switching state is realized by applying various strategies which can distinguish the grade of the errors of stator flux linkage, torque, the neutral-point potential, and the position of stator flux linkage. Consequently, the neutral-point potential unbalance, the dv/dt of output voltage and the switching loss are restrained effectively, and desirable dynamic and steady-state performances of induction machines can be obtained for the DTC scheme. A design method of the fuzzy controller is introduced in detail, and the relevant simulation and experimental results have verified the feasibility of the proposed control algorithm.     

直接转矩控制系统的稳定性问题和鲁棒控制器设计

直接转矩控制(DTC)系统的设计不依赖于感应电机的转子参数,但它的低速性能不好.研究发现,即使定子电阻测量得足够准确,根据定子磁链的电压电流模型设计的经典DTC系统的低速性能仍得不到改善.理论分析说明了这些问题存在的必然性,指出了DTC系统在转矩控制和稳定性之间存在的矛盾,给出了一种鲁棒控制器的设计方案.该方案同时使用了定子电阻和定子磁链的电流模型,当定子电阻和磁链模型出现误差时,表现出了好的鲁棒性.实验结果验证了系统的性能.     

一种新的异步电机直接转矩控制算法研究

给出一种新的异步电动机直接转矩控制算法．该算法通过计算定子磁链矢量增量，使得给定转矩与实际转矩的差值以及给定磁链与实际磁链的差值趋向于零．算法的实现运用了线性化的方法，在一个极小的采样周期内，计算出转矩增量和磁通增量，以此推导出所需的定子磁链增量角与转矩增量及磁通增量两者之间的线性方程，进一步导出所需的定子电压矢量，并确定新的定子磁链位置．该算法不需要进行三角函数和坐标变换计算，易于实现．最后通过Matlab／Simulink仿真验证了该算法的有效性．     

交流伺服系统模糊滑模控制器设计

针对交流伺服系统的位置控制，设计出一种新型滑模控制器，以前馈信号作为平均控制，采用模糊推理来调节开关控制的幅度，仿真研究表明，该控制器能较好地实现对指令信号的跟踪，具有较强的抗参数摄动和抗干扰能力，表现出良好的控制性能。     

Sensorless direct torque control of an induction motor by a TLS-based MRAS observer with adaptive integration

This article presents a new speed and flux estimation algorithm for high-performance direct torque control (DTC) induction motor drives based on model reference adaptive systems (MRAS) observers using linear artificial neural networks (ANNs). Two completely new improvements of MRAS speed and flux observers are presented here: the first is a solution to the open-loop integration problem in the reference model, based on the voltage model of the induction machine, by means of a new adaptive neural integrator, the second is the employment of a new adaptation law in the ANN adaptive model, based on the total least-squares (TLS) technique. In particular, the adaptive neural integrator is based on two adaptive noise filters which completely cancel any DC drift present in the voltage or current signals to be integrated. This neural integrator does not need any a priori training of its two only neurons, adapting itself on-line. With regard to the ANN-based adaptive model, since the most suitable least-square technique to be used for training is the TLS technique, here the neuron is trained on-line by means of a TLS EXIN algorithm which is the only neural network able to solve a TLS problem recursively. Also the TLS EXIN algorithm does not require any a priori training, since it adapts itself recursively on-line. Moreover, to improve the dynamical performances of the speed loop of the drive, the adaptive model has been used as predictor, i.e. without any feed-back between its outputs and its inputs. The sensorless algorithm has been verified experimentally both on the classic DTC technique and on the DTC-SVM (space vector modulation), by adopting a proper test set-up. The speed observer has been tested in the most challenging operating conditions. The experimental results show that the dynamical performances of the sensorless drive are comparable or even better than those obtained with the corresponding DTC drives with encoders as for the medium to high-speed ranges. As for low-speed ranges, the presented sensorless DTC algorithm outcomes the performance presented in the literature for MRAS systems, thus permitting to have an accurate estimation equal or better than that obtainable with more complex observers. Finally, experimental results show that the MRAS speed observer is robust to load torque perturbations and permits zero-speed operation at no-load conditions.     

A modified direct torque control with fault tolerance

The use of inverters in induction motor control has reduced classical motor faults, such as broken rotor bars or windings short-circuit, besides improving control performance. The control becomes faster and more precise, reducing peaks in current and torque, so that the motor can have a softer operation. On the other hand, new elements are included in the system and it will be necessary to take into account their faults. These elements are sensors and power electronic devices that since a control point of view are the system sensors and actuators. Fault tolerance tries to maintain the system under control in case a fault appears in the system. If this is not possible, it takes the system to a safe operational point. In this paper a fault-tolerant control for induction motors is designed. Based on a direct torque control, new control strategies have been added in case current sensor and power switch faults are detected. The challenge is to overcome these faults without any physical redundancy of sensors or power switches as other authors propose. With the proposed control, it will be possible to guarantee the motor operation in the whole speed-torque range with one or none current sensors instead of the two usually used, though the performance will be slightly worsened. In case of inverter faults, the operation range will be restricted but the performance with respect to the fault situation is improved.