无轴承异步电机解耦控制策略

针对2极转矩绕组和4极悬浮绕组构成的无轴承异步电机悬浮力耦合问题,利用悬浮绕组数学模型及其等效电路图,分析了转子感应电流对悬浮力控制的影响.在考虑悬浮绕组转子感应电流导致悬浮力耦合的基础上,研究了逆系统的悬浮解耦控制策略,构造了以悬浮绕组励磁电流为位移控制量的悬浮力控制模型.仿真及实验结果表明,该模型能实现悬浮力完全解耦,其控制器可以独立控制相对应的悬浮力,为无轴承全速范围悬浮控制提供借鉴.     

基于无源性的感应电机控制系统设计

感应电机的无源性控制方法从能量的角度分析电机控制系统,具有形式简单、无奇异点、鲁棒性好等特点.本文给出了感应电机的欧拉方程并将感应电机系统分解为电气和机械两个无源子系统的反馈并联,从而说明在设计控制器时只需要考虑电气子系统,简化了控制算法.在此基础上,利用无源性控制原理,设计了电机的转矩和转速控制器.该控制算法具有全局稳定,系统鲁棒性较好的特点.仿真和实验结果均证明了用此算法构成的感应电机控制系统能很好地跟踪速度给定,具有较好的动静态响应能力.     

双神经网络交流传动自适应规划控制

将Hopfield神经网络应用于交流传动系统的自适应控制，通过神经网络来规划交流调速系统的速度控制器动态输出；并将Hopfield神经网络控制器代替矢量控制系统中的转速调节器，使速度控制器具有对某些参数变化良好的鲁棒性。对于不可控的负载转矩分量，加入神经网络负载转矩在线跟踪控制器，形成参数自动跟踪神经网络，构成具有参数在线跟踪功能的交流传动双神经网络自适应规划控制模式，进一步提高了系统的性能．仿真结果证明了该控制方案的有效性．     

异步电动机矢量控制中的转速辨识

介绍了异步电动机无速度传感器矢量控制中的转速辨识方法。基于电机的理想模型和瞬时无功功率理论,采用合适的控制方法,从定子电压电流中提取转子转速信息。给出了控制系统框图,并说明了理论和实际应用中需要解决的问题。     

感应电机的神经网络鲁棒自适应动态面控制

针对感应电机的高阶、强耦合的非线性,设计一种具有自适应性和鲁棒性的动态面控制律,以实现对感应电机的控制。首先通过变量代换,将五阶感应电机模型变为块三角形式;接着采用神经网络逼近,将模型转化为含有结构不确定性和参数不确定性的参数化模型。对于感应电机系统中的参数不确定性,在动态面控制方法的基础上设计参数自适应律,在线估计其未知参数;对于感应电机系统中的结构不确定性,设计鲁棒控制律,使得电机控制系统具有鲁棒性。最后通过仿真实现,以验证所提出的控制方法的有效性与实用性。     

Robust speed estimation and control of an induction motor drive based on artificial neural networks

In this paper, a speed estimation and control scheme of an induction motor drive based on an indirect field‐oriented control is presented. On one hand, a rotor speed estimator based on an artificial neural network is proposed, and on the other hand, a control strategy based on the sliding‐mode controller type is proposed. The stability analysis of the presented control scheme under parameter uncertainties and load disturbances is provided using the Lyapunov stability theory. Finally, simulated results show that the presented controller with the proposed observer provides high‐performance dynamic characteristics and that this scheme is robust with respect to plant parameter variations and external load disturbances. Copyright © 2007 John Wiley & Sons, Ltd.     

基于无源化的感应电机能量最优控制

提出了一种考虑运行效率优化的感应电机无源化控制方法。在动态系统无源性的基础上．从能量的角度应用无源化方法设计了感应电机调速系统。利用系统的能量函数作为Lyapunov函数，保证电机的转速和磁链能够渐进跟踪其给定值。根据电机的能量平衡关系．得出使得电机能量损耗最小的转子磁链给定值。仿真结果表明，该控制器具有良好的性能。电机轻载时，损耗明显降低。     

交流异步电机软起动及优化节能控制技术研究

对交流异步电动机的软起动和优化节能控制技术做了全面的分析和研究 ,提出了有关异步电动机起动和运行的综合控制方案 ,并讨论研究了智能马达优化控制器 (IMOC)。     

先进控制在异步电动机直接转矩控制中的应用

为提高直接转矩定子磁链的观测精度 ,给出了一种新的自适应定子磁链观测器的设计方案 ,它采用正实误差模型下的参数调节率 ,该方案不依赖于定子电阻。最后给出实例 ,仿真结果表明了设计方法的有效性     

无轴承异步电机数学模型与解耦控制

针对无轴承异步电机是一个强耦合的非线性复杂系统,实现其电磁转矩和径向悬浮力之间的成功解耦是电机稳定悬浮工作的关键问题.在给出了无轴承异步电机径向悬浮力产生原理的基础上,推导了径向悬浮力和电机旋转部分的数学模型,并采用转子磁场定向控制策略设计了无轴承异步电机矢量控制系统,利用Matlab/Simulink工具箱对该控制系统进行了仿真.仿真试验表明,该控制系统不仅可以实现转子稳定悬浮,而且实现了径向悬浮力和旋转力矩之间的解耦控制,电机具有良好的动、静态性能.     

Dual mode synchronous positioning with switching of master–slave axes by using a torque signal for contour control of articulated robot arms

Dual mode synchronous positioning control with switching of master and slave axes is proposed to realize accurate contour control of industrial robot arms. The axis which is contaminated with disturbance is selected as the master axis, then the disturbances in both first axis and second axis can be compensated. The effectiveness of the proposed method was verified by experimental results of an actual articulated robot arm. © 2001 Scripta Technica, Electr Eng Jpn, 138(2): 33–40, 2002     

Vector-controlled induction motors using neural network

Slip-frequency vector control generally is used for variable speed induction motor drives due to its excellent response characteristics. However, it is sensitive to the variation of motor parameters since the flux current and slip-frequency commands are computed using the motor parameters. As a result, the system performance will be degraded if the controller parameters do not match the motor parameters. The authors propose a new approach of vector control in which quick responses and system robustness are obtained concurrently by the learning capabilities of neural network. In the newly developed method, controller parameters are learned in real time at medium and high speeds. Using these learned parameters, the low-speed performance of the controller can also be improved greatly. This paper describes the theoretical analysis, simulation and experimental results of the proposed method.     

Adaptive non-linear speed control of induction motors

In this paper we present two adaptive non-linear speed control algorithms for induction motors. They employ input-output linearization techniques for the motor model in the stator fixed reference frame. The first control algorithm directly tracks speed and rotor flux. The second is designed using torque and rotor flux tracking and is extended for speed control. A key point is that this algorithm ensures exact current limitation in the known parameter case. The adaptation based on Lyapunov design can cope with rotor and stator resistance variations. Significant simulations using sampled controllers are presented emphasizing adaptation and current limitation effects.     

采用复合控制的直流力矩电机摩擦补偿

针对陀螺漂移测试转台直流力矩电机系统中存在的非线性动态摩擦和负载扰动,为提高转台位置跟踪精确度,采用复合控制方法进行摩擦补偿研究.在转台直流电机系统中,电机模型采用简化的二阶线性直流电机模型,摩擦模型采用摩擦参数为非一致性变化的动态摩擦模型.补偿方法包含一个参数自适应律和CMAC神经网络,用于估计未知模型参数、辨识位置周期摩擦扰动并给与补偿.仿真结果表明,复合控制补偿方法保证了闭环系统全局稳定性和对期望位置信号的渐进跟踪,提高了转台位置跟踪精确度.     

用神经网络实现对感应电机转速估计

根据数学模型．提出了一种利用神经网络进行感应电机转速估计的新方法。方法是采用一个3层神经网络作为速度估计器来估计转速。仿真结果表明，这种基于人工神经网络的转速估计模型可以准确地跟踪感应电机转速的变化，具有良好的动态跟随性能。     

Design of deadbeat control system using multirate controller and its application to speed control of induction motor

This paper proposes a design method of an optimal deadbeat control system that takes into account the response between the sampling instant. The sequence of the deadbeat control signal that minimizes the quadratic performance index for the manipulated variable and deviation can be obtained easily from the matrix computation using the step response of the system. Then, the series compensation controller and series integral + local feedback compensation controller with fictitious sampler can be designed by using sequence of the control signal. The results of a computer simulation by the present method and application of this method to a speed control system of the inverter-fed induction motor have been studied in order to explore the control effect. The method seems to be useful for practical application. © 1997 Scripta Technica, Inc. Electr Eng Jpn, 118 (1): 83–92, 1997     

A nonlinear tracking control for sensorless induction motors with uncertain load torque

We propose a novel nonlinear tracking control algorithm for induction motors with uncertain load torque in which only stator currents are used for feedback: rotor speed and flux sensors are not required; no open‐loop integration of flux dynamics is used. For a class of reference signals, for sufficiently small computable time‐varying load torque uncertainty and for any initial condition belonging to an explicitly computed region, closed‐loop boundedness is guaranteed while, under persistency of excitation, local exponential rotor speed and flux modulus tracking are achieved in the case of constant load torque. Copyright © 2007 John Wiley & Sons, Ltd.     

基于RBF神经网络的永磁同步电机在线辨识与模型参考自适应控制

永磁同步电机控制系统是多变量和非线性的。针对传统PI控制方法的不足,提出了一种基于RBF神经网络的永磁同步电机在线辨识与模型参考自适应控制方法。该方法利用RBF神经网络极强的非线性映射能力,通过对神经网络的离线和在线训练,实现了电机速度的自适应控制。仿真结果表明该方法控制精度高,动、静态特性好。     

异步电动机无速度传感器的矢量控制

对交流异步电动机无速度传感器的矢量控制进行了综述 ,分析了几种控制方案的原理 ,指出了它们各自的优点与不足 ,并就今后的研究发展方向提出了一些设想     

感应电机并联运行矢量控制系统仿真研究

针对两台并联电机参数和负载不平衡的情况,在单台电机矢量控制数学模型的基础上,建立了两台并联感应电机在d-q坐标系下的数学模型,给出了基于平均转子磁通进行定向的矢量控制策略,利用定子电流的q轴分量控制两台电机的平均转矩,d轴分量兼顾控制平均转子磁通和偏差转矩。仿真结果表明,系统具有较好的动态、稳态性能。