基于左逆系统的无轴承异步电机无速度传感器运行

为了解决无轴承异步电机运行控制中转速检测的问题,实现对其高性能控制,提出了一种基于左逆系统的无速度传感器控制方法.建立了转速与转矩绕组定子电流的子系统,并证明了该子系统是左可逆的,将左逆系统与该子系统串联,便可实现对转速的观测.应用该方法建立了无轴承异步电机无速度传感器的矢量控制系统,并进行仿真研究.结果表明,该方法能在无轴承异步电机全速范围内准确观测出转速,实现无速度传感器方式的稳定悬浮运行.     

模糊PID无速度传感器矢量控制系统的设计

以异步电动机矢量控制的基本方程式为基础,构建了一个无速度传感器矢量控制系统。系统的转速推算采用模型参考自适应控制(MRAC)理论。为了提高矢量控制系统的性能,提出并设计了3个模糊PID控制器,分别控制间接矢量控制系统中的速度、转矩和磁链。仿真结果表明基于该方法的系统能获得比较好的控制性能。     

基于DSP的无速度传感器交流异步电机矢量控制系统设计

为提高交流异步电机控制系统的可靠性和适应性,本文设计了基于DSP的无速度传感器异步电机矢量控制系统。根据异步电机转子磁场定向控制的基本方程式建立了改进电压型转子磁链估算模型,并且采用PI自适应速度估算法来估计转速,同时采用电压空间矢量法实现对异步电机的控制。     

Sensorless torque control scheme of induction motor for hybrid electric vehicle

In this paper, the sensorless torque robust tracking problem of the induction motor for hybrid electric vehicle （HEV） applications is addressed, Because motor parameter variations in HEV applications are larger than in industrial drive system, the conventional field-oriented control （FOC） provides poor performance. Therefore, a new robust PI-based extension of the FOC controller and a speed-flux observer based on sliding mode and Lyapunov theory are developed in order to improve the overall performance. Simulation results show that the proposed sensorless torque control scheme is robust with respect to motor parameter variations and loading disturbances. In addition, the operating flux of the motor is chosen optimally to minimize the consumption of electric energy, which results in a significant reduction in energy losses shown by simulations.     

感应电机矢量控制系统的神经网络转速辨识

为解决感应电机无速度传感器矢量控制系统的转速辨识问题,在给定的无速度传感器感应电机间接矢量控制系统中,根据感应电机的数学模型,经过一定的变换,利用电机易于检测到的定子电压和电流,以及基于BP算法的两层神经网络,用期望状态与实际状态之间的偏差来调整神经网络模型的权值,达到实时辨识电机转速的目的。该方法简单、直观,不仅利用了神经网络的优点,又能适应感应电机调速系统实时控制的要求。仿真结果验证了该方法的有效性。     

Sensorless torque control scheme of induction motor for hybrid electric vehicle

In this paper, the sensorless torque robust tracking problem of the induction motor for hybrid electric vehicle (HEV) applications is addressed. Because motor parameter variations in HEV applications are larger than in industrial drive system, the conventional field-oriented control (FOC) provides poor performance. Therefore, a new robust PI-based extension of the FOC controller and a speed-flux observer based on sliding mode and Lyapunov theory are developed in order to improve the overall performance. Simulation results show that the proposed sensorless torque control scheme is robust with respect to motor parameter variations and loading disturbances. In addition, the operating flux of the motor is chosen optimally to minimize the consumption of electric energy, which results in a significant reduction in energy losses shown by simulations.     

基于高频注入法的永磁同步电动机无传感器矢量控制

提出了一种在零速或是低速时无传感器的永磁同步电动机矢量控制方法。该方法基于永磁同步电动机的凸极效应原理,在两相旋转坐标系中注入高频信号来获取无传感器矢量控制时所需转子的精确位置和转速,并在此基础上给出了永磁同步电动机无传感器矢量控制系统。仿真结果表明,该方法能够准确估计转子位置和速度,满足矢量控制的需要。     

Application of CMAC neural network to the control of induction motor drives

In this paper, a cerebellar-model-articulation-controller (CMAC) neural network (NN) based control system is developed for a speed-sensorless induction motor that is driven by a space-vector pulse-width modulation (SVPWM) inverter. By analyzing the CMAC NN structure and motor model in the stationary reference frame, the motor speed can be estimated through CMAC NN. The gradient-type learning algorithm is used to train the CMAC NN online in order to provide a real-time adaptive identification of the motor speed. The CMAC NN can be viewed as a speed estimator that produces the estimated speed to the speed control loop to accomplish the speed-sensorless vector control drive. The effectiveness of the proposed CMAC speed estimator is verified by experimental results in various conditions, and the performance of the proposed control system is compared with a new neural algorithm. Accurate tracking response and superior dynamic performance can be obtained due to the powerful online learning capability of the CMAC NN.     

无速度传感器调速系统的仿真研究

提出了一种简单易行的速度估算策略，介绍了交流调速系统仿真程序，并利用仿真程序对这种无速度传感器矢量控制系统新方案的可行性进行了深入研究。     

基于PIC16F877的无位置传感器直流无刷电机控制系统

本文介绍了基于单片机PIC16F877的直流无刷电动机控制系统。主要分析了反电动势感应方法,并阐述了虚拟中点法和三段式起动技术。     

基于模型参考自适应的速度估计方法

为解决无速度传感器感应电动机矢量控制系统的速度估计问题,以模型参考自适应的理论为基础,利用感应电压矢量进行转速估计并进行仿真,转速估计结果理想,仿真实验所得到的波形与理论分析结果是一致的。并且使相应的无速度传感器矢量控制系统具有良好的静、动态性能。证明了采用模型参考自适应系统,利用感应电压矢量进行转速估计方法的正确性和可行性。     

基于滤波补偿和自适应观测的直接转矩控制

直接转矩控制(DTC)是继矢量控制技术后发展起来的一种新型的交流调速控制方法,但其在低速运行时存在较大的电流、转矩脉动,为了改善直接转矩控制系统的低速性能,提出一种新型的定子磁链低通滤波补偿和转速自适应观测相结合的直接转矩控制方法.该方法提高了定子磁链和转子转速的观测精度,改善了直接转矩控制系统的动静态性能.仿真和实验...     

一种无速度传感器矢量控制系统的研究

本文基于同步轴系下的感应电动机电压磁链方程式,提出了一种感应电动机转子磁场定向的矢量控制方法,利用在同步轴系中q轴电流的误差信号实现对电机速度的估算。在该无传感器矢量控制系统中,由于采用了经典的PI调节器,使得控制系统更为简单。最后利用MATLAB建立的该无传感器矢量控制系统的仿真模型,通过仿真验证了本文所提出的无传感器矢量控制系统具有良好的动态和静态性能。     

利用插入高频电流进行异步机转速辨识方法的研究

本文描述了一种异步电动机无速度传减速矢量控制系统转速辨识的新方法,它利用在ｄ轴插入的高频电流在矢量控制未完全解耦时产生的转矩纹波,估算转子磁链角速度。     

无速度传感器PMSM混沌运动的非奇异快速终端滑模控制

针对永磁同步电机调速系统中速度传感器存在安装缺陷及在某些特定的参数下电机会呈现混沌特性,提出了无速度传感器永磁同步电机滑模控制混沌抑制方法．在无速度传感器运行的永磁同步电机矢量控制调速系统基本框架下,采用非奇异快速终端滑模控制方法来抑制电机的混沌运动．首先在永磁同步电机的混沌模型基础上通过仿真验证了混沌现象的存在;然后利用扩张状态观测器（ESO）估计转速,构成无速度传感器永磁同步电机矢量控制系统;在此基础上设计了非奇异快速终端滑模控制器,当电机在某些参数条件下呈现混沌现象,即刻通过控制器的切入来抑制永磁同步电机的混沌运动．最后通过仿真验证该方法的有效性,保证电机运行稳定和可靠.     

永磁同步电机无传感器控制技术研究现状与控制策略综述

由于永磁同步电机无传感器控制系统具有控制精度高、安装、维护方便、可靠性强等一系列优点,成为近年来研究的一个热点。文章首先简单介绍了永磁同步电机无传感器控制技术的工作原理,在此基础上分析了永磁同步电机无传感器技术的现状,并对其控制策略进行了分析和比较,指出目前永磁同步电机无传感器控制技术的研究重点和所要解决的问题。     

六相直线感应电机模糊间接矢量控制

针对直线电机运行于复杂环境条件下,系统建模准确度不高,参数难以整定的问题,提出了一种适用于六相直线感应电机的模糊间接矢量控制方法;在同步旋转坐标系下对六相直线电机建模,并阐述了间接矢量控制的原理;将模糊控制算法应用于间接矢量控制中的速度环,根据位移和速度的偏差直接模糊调节给定电磁力,使得参数的整定不再依赖准确的系统模型,且参数调节更为简单;通过对隶属函数分区和采用中心法清晰化,减小了模糊控制算法的计算量,从而能够满足实时计算的要求;将所提算法在数字信号处理器（DSP,digital signal processor） 中实现,并在半实物仿真平台上验证,结果表明所提算法投入后,位移和速度误差减小都超过了65%,能够实现电机速度和位移的准确控制,且通用性好。     

A New Full‐Order Sliding Mode Observer Based Rotor Speed and Stator Resistance Estimation for Sensorless Vector Controlled Pmsm Drives

Sensorless control of a permanent magnetsynchronous motor (PMSM) at low speed remains a challenging task. In this paper, a sensorless vector control of PMSM using a new structure of a sliding mode observer (SMO) is proposed. To remove the mechanical sensors, a full‐order (FO‐SMO) is built to estimate the rotor position and speed of PMSM drives. The FO‐SMO, which replaces a sign function by a sigmoid function, can reduce the chattering phenomenon. In order to overcome time delay, we cancel the low pass filter. This sensorless speed control shows great sensitivity to stator resistance and system noise. To improve the robustness of sensorless vector control, a full‐order SMO technique has been used for stator resistance estimation. A novel stator resistance estimator is incorporated into the sensorless drive to compensate for the effects of stator resistance variation. The validity of the proposed FO‐SMO with a 1.1 kw low‐speed PMSM sensorless vector control is demonstrated by experiments. In this paper, experimental results for FO‐SMO, back‐EMF SMO and MRAS techniques were obtained with fixed point DSP‐based (TMS320F240).     

Adaptive speed/position control of induction motor based on SPR approach

A sensorless speed/position tracking control scheme for induction motors is proposed subject to unknown load torque via adaptive strictly positive real (SPR) approach design. A special nonlinear coordinate transform is first provided to reform the dynamical model of the induction motor. The information on rotor fluxes can thus be derived from the dynamical model to decide on the proportion of input voltage in the d-q frame under the constraint of the maximum power transfer property of induction motors. Based on the SPR approach, the speed and position control objectives can be achieved. The proposed control scheme is to provide the speed/position control of induction motors while lacking the knowledge of some mechanical system parameters, such as the motor inertia, motor damping coefficient, and the unknown payload. The adaptive control technique is thus involved in the field oriented control scheme to deal with the unknown parameters. The thorough proof is derived to guarantee the stability of the speed and position of control systems of induction motors. Besides, numerical simulation and experimental results are also provided to validate the effectiveness of the proposed control scheme.     

A speed-sensorless indirect field-oriented control for induction motors based on high gain speed estimation

The authors design a new speed sensorless output feedback control for the full-order model of induction motors with unknown constant load torque, which guarantees local asymptotic tracking of smooth speed and rotor flux modulus reference signals and local asymptotic field orientation, on the basis of stator current measurements only. The proposed nonlinear controller exploits the concept of indirect field orientation (no flux estimation is required) in combination with a new high-gain speed estimator based on the torque current tracking error. The estimates of unknown load torque and time-varying rotor speed converge to the corresponding true values under a persistency of excitation condition with a physically meaningful interpretation, basically equivalent to non-null synchronous frequency. Stability analysis of the overall dynamics has been performed exploiting the singular perturbation method. The proposed control algorithm is a “true” industrial sensorless solution since no simplifying assumptions (flux and load torque measurements) are required. Simulation and experimental tests show that the proposed controller is suitable for medium and high performance applications.