双模糊神经网络的滑模控制感应电动机伺服驱动研究

根据感应电动机伺服驱动系统高性能的要求,设计了一种基于双模糊神经网络的滑模控制的感应电动机伺服驱动系统.控制策略具有设计过程简单、意义清晰、鲁棒性好等优点,对于参数未知、时变、负载扰动大的伺服系统,它是一种有效的实时控制策略.仿真和实验结果表明:该控制策略大大提高了系统的高速响应能力,鲁棒性强,系统具有较好的动、静态性能和抗干扰能力,是开发高精度、高性能交流伺服系统的一条有效途径.     

MRAS-based sensorless control of a vector controlled five-phase induction motor drive

Multi-phase ac motor drives are nowadays considered for various applications, due to numerous advantages that they offer when compared to their three-phase counterparts. In principle, control methods for multi-phase machines are the same as for three-phase machines. Variable speed induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability. To replace the sensor, information of the rotor speed is extracted from measured stator currents and voltages at motor terminals. Vector controlled drives require estimating the magnitude and spatial orientation of the fundamental magnetic flux waves in the stator or in the rotor. Open-loop estimators and closed-loop observers are used for this purpose. They differ with respect to accuracy, robustness, and sensitivity against model parameter variations. This paper analyses operation of an open-loop and model reference adaptive system (MRAS)-based sensorless control of vector controlled five-phase induction machine with current control in the stationary reference frame. The MRAS-based sensorless operation of a three-phase induction machine is well established and the same principle is extended in this paper for an IRFOC five-phase induction machine. Performance, obtainable with hysteresis current control, is illustrated for a number of operating conditions on the basis of simulation results. Full decoupling of rotor flux control and torque control is realised. Dynamics, achievable with a five-phase vector controlled induction machine, are shown to be essentially identical to those obtainable with a three-phase induction machine. Experimental verification is also provided.     

Application of reaching law approach to the position control of a vector controlled induction motor drive

In this paper, a new position control method based on the reaching law control (RLC) approach is proposed for the robust position control of electrical drive systems. The main aim of this study is to investigate the robustness of the RLC approach under inertial-frictional variations and external disturbances and to address the application problems of the RLC approach for position control systems. New components are added to the controller in order to improve the robustness. The control method is applied to a vector-controlled induction motor drive system. It is shown in the paper that the practical constraints such as torque limitation, and the demand of high control performance, i.e., high bandwidth, result in undesirable overshoots. The performance of the control method is shown by simulation and experimental results.List of symbols X, X _k Continuous and discrete-time state vectors - x ₁, x ₂ State variables (the shaft position and speed of the rotor) - , _re Position and reference angles (rad) - Angular velocity (rad/s) - A,A _n State variable matrix with true and nominal parameters - B,B _n Control input matrix, with true and nominal parameters - u,u _max Control signal, and its maximum value - A,B Uncertain parts of the state matrix and the control input matrix - Equivalent terms of A, B uncertainties referred to matching condition - C Gain vector of switching function - s _k Switching function - q A constant used in the reaching law - A constant used in the reaching law - A constant used in the chattering reduction approach - T sampling period - J,J _n True and nominal inertia coefficient (kg m²) - B,B _n True and nominal friction coefficient (kg m²/s) - J,B The uncertain parts of the inertia and friction coefficients - T _e Produced (electrical) torque (control signal) (Nm) - Load torque (Nm) - Equivalent term of A referred to matching condition and scalar component - Equivalent term of B referred to matching condition - All uncertainties and disturbances referred to matching condition - J₀,B₀ The variation ratios of the inertia and friction coefficients - G State variable matrix in discrete-time model - H Control input matrix in discrete-time model - Slope of the sliding line (surface) - a Mechanical time constant - v _sd, v _sq Stator voltages in d-q axis (V) - i _sd, i _sq Stator currents in d-q axis (A) - L _s, L _R Stator and rotor self inductances (H) - L _m Mutual inductance (H) - Leakage factor - _e, _sl Stator and slip angular velocity (rad/s) - _r Rotor time constant - P Number of poles     

Intelligent control of induction servo motor drive via wavelet neural network

This study presents an intelligent control system for an induction servo motor drive to track periodic commands using a wavelet neural network (WNN). With the field orientation mechanism, the dynamic behavior of the induction servo motor drive system is rather similar to a linear system. However, the uncertainties, such as mechanical parametric variation, external disturbance, unstructured uncertainty due to nonideal field orientation in transient state, and unmodelled dynamics in practical applications influence the control performance. Therefore, an intelligent control system that is an on-line trained WNN controller with adaptive learning rates is proposed to control the rotor position of the induction servo motor drive. The adaptive learning rates are derived in the sense of discrete-type Lyapunov stability theorem, so that the convergence of the tracking error can be guaranteed in the closed-loop system. In the whole design process, the strict constrained conditions and prior knowledge of the controlled plant are not necessary according to the powerful learning ability of the intelligent control system. With the proposed intelligent control system, the controlled induction servo motor drive possesses the advantages of good tracking control performance and robustness to uncertainties under wide operating ranges. The effectiveness of the proposed control scheme is verified by both simulated and experimental results.     

Performances of fuzzy-logic-based indirect vector control for induction motor drive

This paper presents a novel speed control scheme of an induction motor (IM) using fuzzy-logic control. The fuzzy-logic controller (FLC) is based on the indirect vector control. The fuzzy-logic speed controller is employed in the outer loop. The complete vector control scheme of the IM drive incorporating the FLC is experimentally implemented using a digital signal processor board DS-1102 for the laboratory 1-hp squirrel-cage IM. The performances of the proposed FLC-based IM drive are investigated and compared to those obtained from the conventional proportional-integral (PI) controller-based drive both theoretically and experimentally at different dynamic operating conditions such as sudden change in command speed, step change in load, etc. The comparative experimental results show that the FLC is more robust and, hence, found to be a suitable replacement of the conventional PI controller for the high-performance industrial drive applications.     

大功率感应电机矢量控制系统软硬件设计

根据大功率感应电机矢量控制的特点,设计了一种基于浮点型数字信号处理器ＴＭＳ３２０Ｃ３１和单片机８０Ｃ１９６ＭＣ的双微机矢量控制系统,并详细说明了其软硬件设计方法。实验结果表明,该控制系统充分利用了ＴＭＳ３２０Ｃ３１和８０Ｃ１９６ＭＣ的特点,软硬件设计合理、实时性好,能可靠地完成复杂的矢量运算和优化 ＳＰＷＭ波形生成,控制感应电机达到较好的动态性能。     

双UKF算法及其在感应电机矢量控制中的应用

在无轨迹卡尔曼滤波器(UKF)算法的基础上,建立应用于感应电机矢量控制系统的双UKF算法,实现电机状态和参数的同时观测.电机模型选择以定、转子磁链为状态变量的降阶方程,从而有效避免了数值计算的不稳定性.利用Simulink建立感应电机矢量控制系统,通过仿真比较了双UKF与扩展卡尔曼滤波器(EKF)两种算法的性能.实验结果表明,双UKF算法能有效提高状态估计和参数辨识的精度和收敛速度.     

基于转速动态估计器的无速度传感器感应电机矢量控制系统研究

介绍了一种直接转子磁场定向无速度传感器的感应电机矢量控制系统。该系统使用定转子自适应磁通观测器和转速动态估计器来估算转子磁通和转速 ,有三个PI控制器分别控制转速、转矩和磁通的电流分量 ,输出电压空间矢量控制电机。仿真结果表明 ,该系统具有较好观测精度和鲁棒性 ,动态和稳态性能也较好     

无速度传感器异步电机矢量控制系统的改进研究与仿真

以异步电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。系统采用了改进积分型转子磁链估算模型。根据模型参考自适应方法的原理,提出一种改进的速度估算法。并利用MATLAB/SIMULINK进行了仿真,仿真结果验证了采用的速度估算方法是正确的。     

一种新型交流异步电机电压解耦矢量控制系统

提出了一种异步电动机电压解耦矢量控制系统的设计方法,详细分析了电压解耦矢量控制理论,确定了基于DSP控制技术的矢量控制系统硬件和软件结构,并将该系统左用于绞车传动中控制PWM变频器,并进行了实验。结果表明该设计系统合理,总体功能达到了矢量控制系统的技术指标。     

Optimization of a variable-frequency induction motor drive with a scalar control system

The structure of an upgraded frequency control system and procedures for calculating control laws for induction motor drives under static and dynamic conditions are considered. The results of mathematical simulation and experimental investigation of the processes in a standard and an upgraded scalar control system are discussed.     

异步电机无速度传感器矢量控制系统的研究

为了实时辨识电动机的转子转速,提出利用在异步电机端测量得到的电压和电流来估算电机转速,以实现无速度传感器矢量控制的模型参考自适应方法.在MATLAB/Simulink中,建立了一个基于该方法的无速度传感器矢量控制系统,并进行了仿真实验,仿真结果表明该系统具有良好的动静态特性和稳定性.     

异步电机无速度传感器矢量控制系统中扩展卡尔曼滤波器的优化研究

利用扩展卡尔曼滤波器,将转速看成一个状态量,根据定子的电流和电压值估算转速.通过仿真对滤波器初值的选取进行了研究,得到优化的卡尔曼滤波器,试验结果表明,速度估算的准确性高,系统对于电机参数的变化不敏感,具有较强的鲁棒性.     

Usefulness of a frequency‐hybrid vector control for a sensorless induction motor drive

This paper examines and demonstrates the usefulness of a frequency‐hybrid vector control scheme for sensorless induction motor drive through actual‐machine‐based performance evaluation tests. The new approach utilizes a new indirect orientation scheme and a stable‐filter‐embedded direct orientation scheme, and exploits their advantages. It is confirmed through extensive tests with small and large standard motors such as 0.3, 3.7, 30 kW and special low‐voltage motors dedicated to electric vehicles that the sensorless vector control scheme has the following potential usefulness: (1) it can make machines that produce more than 200% rated torque at standstill, (2) in both motoring and regenerating modes, the rated torque can be produced even in the very slow speed range, including zero speed and zero frequency, (3) for constant speed, good linearity of torque response is attained, (4) it has the ability to track variable speed acceleration commands up to ±5000 rad/s² in the mechanical frequency sense, (5) it can accept a zero‐speed command and settles the machines to a stable standstill with no vibration, (6) it accepts instant injection of rated load even for zero‐speed control, and (7) it accommodates a load with huge inertia. © 2002 Wiley Periodicals, Inc. Electr Eng Jpn, 141(4): 44–58, 2002; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.10073     

永磁交流伺服系统矢量控制仿真

介绍了矢量控制原理和空间矢量脉宽调制算法,并在MATLAB/SIMULINK下设计永磁交流伺服系统的仿真模型,进行仿真研究。仿真结果验证了该仿真模型的有效性。     

永磁无刷直流电机驱动系统的动态模型

具体分析逆变器—永磁无刷电机系统的工作过程以及此系统的一种动态模型 ,在此模型中 ,只要给出任一时刻转子的位置信号和电机的一些参数 ,就可以推测下一时刻的相电流、转矩等波形     

Method to optimize efficiency of vector control system of induction traction electric drive with parameter identifier

A structure and method for synthesizing the efficient vector control system of induction electric drive based on the parameter identifier are examined. Algorithms for estimating the parameters of an electric drive that change significantly during operation are presented. The results of a mathematical simulation of the traction electric drive of an ET300TsP tractor by taking into consideration the pulse-duration modulation, inverter switching delays, motor steel losses, and saturation are presented.     

Fuzzy control of integrated current-controlledconverter-inverter-fed cage induction motor drive

This paper presents a performance analysis of a vector-controlled cage induction motor drive. The drive is fed from a current-controlled converter-inverter system. The pulsewidth modulation current control technique is used to derive the switching signals for the converter, as well as the inverter. Closed-loop control of the cage induction motor utilizes a fuzzy proportional integral derivative speed controller. The advantages offered by the current control converter-inverter link are exploited. In order to examine the dynamic performance of the drive system, its model is simulated and results are analyzed. The potential applications of this particular drive system are outlined