Deadbeat flux level control of direct-field-oriented induction motor

A method for the deadbeat flux level control of a direct-field-oriented induction motor with position control loop has been developed that employs an adaptive rotor flux observer. The observer is a full-order type and is used not only in the direct-field-oriented controller, but also to identify stator and rotor resistances of the motor. The observer reduces the sensitivity of a deadbeat controller to fluctuations in the motor parameters. The main advantage of this method is that it improves the efficiency of an induction motor without sacrificing dynamic performance. This paper describes the method as well as the fundamental characteristics of the system derived from experimental and simulation results.     

基于模糊神经网络和PI控制的异步电机位置控制系统

提出一种用于异步电机位置控制的模糊神经网络(fuzzy neural network,FNN)控制器.其控制系统采用Sugeno型FNN和比例积分(proportional integrate,PI)控制进行构建.在进行试验测试之前,利用实验数据库和梯度算法对模糊神经网络进行在线训练.利用DS1104型DSP控制卡实现控制算法.利用该控制器对异步电机进行位置控制,在电机施加非线性负载和发生参数扰动的条件下,对控制系统的功能以及鲁棒性进行测试,试验结果表明,该控制系统能够保证电机稳定有效的工作.     

基于模型参考神经网络的异步电机鲁棒速度控制方法

提出一种新型的基于模型参考神经网络的异步电机驱动系统鲁棒速度控制方法。由带负载转矩观测器的两层神经网络对象辨识器(NNPI)对未知的电机动态参数进行实时的自适应辨识与估计。由双层神经网络PI控制器(NNC)对异步电机转子速度进行鲁棒控制。神经网络使用学习算法以自动调节NNPIC的参数并有效地降低系统对参数变化以及负载扰动的敏感度。仿真结果表明该方法对于参数变化和负载转矩扰动具有很强的自适应能力,能够提高异步电机的性能,并减小其对参数变化、非线性影响以及负载扰动的敏感度。     

Deadbeat flux level control of direct-field-orientedhigh-horsepower induction servo motor using adaptive rotor flux observer

A method for the deadbeat flux level control of direct-field-oriented high-power induction servo motor drives has been developed that employs an adaptive rotor flux observer. The observer is a full-order type and is used not only in the direct-field-oriented controller, but also to determine the stator and rotor resistances of the servo motor. The observer reduces the sensitivity of a deadbeat controller to fluctuations in the motor parameters. The main advantage of this method is that it improves the efficiency of an induction servo motor without sacrificing dynamic performance. This paper describes the method as well as the fundamental characteristics of the system derived from experimental and simulation results     

An air-gap-flux-oriented vector controller for stable operation ofbearingless induction motors

A bearingless induction machine has combined characteristics of an induction motor and magnetic bearings. It is known that the magnetic suspension of the rotor becomes unstable at overload operation, particularly in transient conditions. A novel air-gap-flux-oriented vector control scheme has been proposed to operate the bearingless induction motor during the high torque acceleration period. It has been found that there is an optimal flux orientation for complete decoupling in radial force generation. Test results in a laboratory bearingless induction motor validates the performance efficacy of proposed controller at overload conditions     

基于神经网络的新型复合速度控制器研究

将神经网络直接逆动态控制和传统PID控制相结合构造了一种新型复合神经网络速度控制器。基于感应电机间接磁场定向矢量控制系统的仿真结果表明,在电机参数变化和负载扰动的情况下,该控制器的应用使感应电机间接磁场定向矢量控制系统具有更好的鲁棒性和抗扰性能。     

Online tuning method of stator and rotor resistances in both motoring and regenerating operations for vector‐controlled induction machines

The vector control of induction motors is widely used. This method needs accurate motor parameter but the stator and rotor resistance vary due to motor temperature variation. If the value of resistance in the controller can be set up accurately at first, there must be a difference between the reference and real value of torque because of drift of the resistance. It is necessary to adapt the resistance value. The indirect field‐oriented control of an induction motor requires the value of rotor resistance only, but the direct field‐oriented control method with rotor flux observer requires the value of not only rotor resistance but also stator resistance in the controller. Consequently, it is necessary to adapt both stator resistance and rotor resistance. A parameter adaptation scheme has previously been proposed for the direct field‐oriented control method with rotor flux observer, but this method cannot be used when the motor is in regenerating operation. In this paper, a new stator and rotor resistance adaptation scheme is proposed, which can be applied when the motor is in regenerating operation. The usefulness of the proposed adaptation scheme is confirmed by simulation. © 2001 Scripta Technica, Electr Eng Jpn, 135(1): 56–64, 2001     

定子磁场定向感应电机无源性控制器设计

基于无源性的基本思想,选取定子磁通幅值作为系统的磁通控制目标,并借鉴间接定子磁场定向的控制方法,构建了一种新的基于定子磁场定向的感应电机(Induction Motor,简称IM)无源性控制器(Pacive Based Control,简称PBC).该控制器保留了IM无源性控制器优点,证明IM无源性控制器以定子磁通作为系统控制目标的设计方法是可行的,扩展了无源性控制器设计方法的应用领域.仿真和实验结果证明,该控制器是稳定且有效的.     

基于单神经元控制器的异步电动机矢量控制

文中提出了采用单神经元智能控制器代替传统PID控制器以改善异步电动机矢量控制的性能。在分析单神经元控制器结构与控制原理的基础上，为了提高单神经元控制器的学习能力与自适应性，将无监督的Hebb学习规则与有监督的Delta学习规则相结合，运用改进的学习与控制算法，实现单神经元控制器的参数优化与在线自动调整。采用Matlab软件建立单神经元控制器与异步电动机矢量控制模型，进行仿真研究；并将单神经元控制器的控制软件应用于异步电动机矢量系统，进行实验研究。仿真与实验结果表明，单神经元控制器可以改善异步电动机矢量控制的性能，具有较强的自适应性与鲁棒性。     

Robust speed-controlled induction motor drive based on recurrent neural network

This paper proposes a recurrent neural network speed controller for an induction motor drive. This speed controller consists of a recurrent neural network identifier (RNNI) and recurrent neural network controller (RNNC). The RNNI is used to provide real-time adaptive identification of the unknown motor dynamics. The RNNC is used to produce an adaptive control force so that the motor speed can accurately track the reference command. A back-propagation algorithm was used as the learning algorithm to automatically adjust the weights of the RNNI and RNNC in order to minimize the performance functions. The proposed control scheme can quickly estimate the plant parameters and produce a control force, such that the motor speed can accurately track the reference command. Both computer simulations and experimental results demonstrated that the proposed control scheme was able to obtain robust speed control.     

A simple hardware realization of switching table based direct torque control of induction motor

A simple hardware realization of direct torque control (DTC) scheme for fast control of induction motor torque has been presented. The proposed hardware scheme mimics the conventional switching table based DTC scheme and does not require use of any online fast computing device like microprocessor, PC or DSP. The controller uses only commonly used discrete hardware components. The experimental results of the proposed hardware implementation have been presented and supported with simulation results. Another alternate hardware scheme without using the switching table has also been proposed and the experimental results of both the schemes have been compared and found to be in agreement with each other.     

一种应用于异步电机的基于Laguerre函数的模型预测控制电流调节器

电动汽车用异步电机复杂的运行工况,造成电机参数改变,传统同步PI控制性能不甚理想。基于复矢量比例积分(PI)控制和模型预测控制(MPC)的电流调节器,使得其控制效果得到一定改善,但仍然存在响应时间长和超调大的问题。针对电动汽车用异步电机控制器,设计一种基于Laguerre函数的模型预测控制(LMPC)电流调节器,该电流控制器根据过去和现在的信息,对系统的状态量进行多步预测,并综合考虑控制对象的预期值和控制量的变化等评价指标,得到最优的控制律。仿真和实验结果表明,该调节器相比于复矢量PI控制和模型预测控制,具有更快的动态响应和更好的参数鲁棒性。     

基于非线性自抗扰控制器的异步电机高性能控制

本文将非线性自抗扰控制器应用到异步电机调速系统中，由自抗扰控制器取代经典PID控制器对异步电机进行控制，提出了应用自抗扰控制器的异步电机调速系统的设计方案。通过在一台2.2 kW异步电机上进行突加负载、正反转等实验，自抗扰控制器被证明具有良好的动态性能，并且其对负载扰动、电机参数变化都具有较好的鲁棒性。     

基于异步电动机动态模型的间接转矩控制策略研究

基于异步电动机的动态数学模型,分析了间接转矩控制技术的基本原理,给出了实现间接转矩控制器的具体算法。在此基础上,以200kW异步电动机作为控制对象,对使用间接转矩控制技术的异步电动机调速系统进行了试验研究。实验结果表明,间接转矩控制策略能够有效地改善调速系统的低速性能。     

采用自抗扰控制器的高性能异步电机调速系统

矢量控制技术已被广泛地应用于高性能异步电机调速系统中,然而,由于在实时控制中存在严重的外部干扰,参数变化和非线性不确定因素,基于精确电机参数的准确解耦很难实现,并且磁通和转矩的动态性能也受到严重的影响,为了提高调速系统的动态性能,该文提出了一种可以取代经典PID控制器用于异步电机调速的非线性自抗扰控制器。自抗绕控制器由三部分组成;跟踪微分器,扩张状态观测器和非线性状态误差反馈控制律,利用扩张状态观测器,自抗绕控制器可以估计出系统状态变量及其广义导数,从而实现异步电机的精确解耦,此外,上述控制录需要精确电机参数就可以实现干扰补偿,这使得自抗绕控制器的设计能够独立于异步电机的精确数字模型。仿真和实验结果表明,相对于经典PID控制器,自抗绕控制器在较宽的调速范围内具有更好的动态性能以及对负载扰动,电机参数变化都具有更好的鲁棒性。     

三电平扩展卡尔曼滤波异步电机滑模控制

传统异步电机闭环控制中转速和磁链外环采用比例积分(PI)控制,针对其有超调和动态响应慢等问题,提出了一种新型的滑模控制器用于外环转速和磁链控制,改善了动态性能.采用五阶扩展卡尔曼滤波(EKF)来估计转速和磁链并用于闭环反馈,进一步研究了引入转矩观测后的六阶EKF,考察了转动惯量对速度估计的影响,在三电平逆变器驱动异步电机平台上进行了各种实验.结果表明,基于EKF和滑模控制的无速度传感器控制系统在较宽的速度范围内具有良好的动静态性能.     

自抗扰控制器解决感应电机调速系统参数鲁棒性问题

针对矢量控制系统存在的参数鲁棒性差的缺陷,基于自抗扰控制原理,提出了一种可以取代经典PID控制器用于异步电机调速的非线性自抗扰控制器。利用扩张状态观测器,自抗扰控制器可以估计出系统状态变量及其广义导数,从而实现异步电机的精确解耦。此外,上述控制方案不需要精确电机参数就可以实现干扰补偿,这使得自抗扰控制器的设计能够独立于异步电机的精确数学模型。仿真和实验结果表明,相对于经典PID控制器,自抗扰控制器在较宽的调速范围内具有更好的动态性能。     

Position control of the induction motor using a passivity-basedcontroller

Most position tracking applications employ either DC or permanent-magnet motors. In this paper, an induction motor drive for position control applications is proposed. Such a drive adopts a passivity-based controller which mainly differs from the others because its formulation emphasizes system energy properties and behavior. The controller has simple equations and good robustness without using complex flux observers and the exact knowledge of the motor parameters, as well. The proposed drive has been practically implemented, achieving satisfactory results     

Sensorless Direct Field-Oriented Control of Three-Phase Induction Motor Drives for Low-Cost Applications

A sensorless direct rotor field-oriented control (SDRFOC) scheme of three-phase induction motors for low-cost applications is presented in this paper. The SDRFOC algorithm is based on a sensorless closed-loop rotor flux observer whose main advantages are simplicity and robustness to motor parameter detuning. The whole algorithm has been developed and implemented on a low-cost fixed-point digital signal processor controller. Experimental results are presented for a 0.5-kW induction motor drive for a primary vacuum pump used in industry applications.     

鲁棒自适应PID控制的感应电机伺服系统

开发以李亚普诺夫稳定性理论为基础的PID控制的感应电机伺服系统,分析了基于李亚普诺夫稳定性理论的PID自适应控制技术。针对一类非线性系统,利用反步递推技术,设计了一种新型的自适应控制方法。详细讨论了该控制方法的几个关键环节,PID控制器中的比例系数、积分时间常数和微分时间常数自适应调整、以及控制器不确定项的边界值的自适应估计律均通过李亚普诺夫稳定性理论推导得出。仿真和实验结果验证了控制方法的有效性和可行性。