基于最小二乘估计的感应电机自适应逆控制

针对感应电机变频调速系统,提出了一种基于最小二乘估计的自适应逆控制方法.该方法首先通过非线性状态反馈获得逆系统,将感应电机解耦成转子磁链和转速两个线性子系统,从而可以分别设计闭环控制器.为克服电机参数变化的影响,采用递推最小二乘算法对电机参数进行在线辨识,提高了逆解耦控制系统对电机参数变化的适应性.仿真结果表明了该控制方法的可行性和先进性.     

电流控制逆变型感应电机的神经网络逆系统控制

针对电流控制逆变器供电的感应电机系统的特点,提出了不依赖于对象精确数学模型与参数的感应电机神经网络逆系统控制方法.由静态神经网络加积分器来构造感应电机的逆系统,并与原系统串联,实现感应电机的转速和转子磁链真正的动态解耦.在此基础上,设计线性闭环调节器对两个解耦的伪线性子系统进行控制,获得优良的动、静态控制性能.仿真结果表明这种基于神经网络逆系统方法的控制策略可实现感应电机的高性能控制,且对电机参数的变化与负载扰动具有较强的鲁棒性.     

两电机变频调速系统的神经网络广义逆解耦控制

两电机变频调速系统是一个多输入多输出(multi-input multi-output,MIMO)非线性强耦合的控制系统。神经网络广义逆控制方法不但可以实现MIMO系统的线性化与解耦,而且通过合理地调节广义逆系统的参数,可以使解耦后的单输入单输出(single-input single-output,SISO)系统具有开环稳定的特性,从而有利于系统的综合。论文对变频器工作在矢量控制方式下的系统数学模型进行广义逆存在性分析,进而导出系统的广义逆数学表达式。进一步构造神经网络广义逆系统串联在两电机系统之前,组成基于广义逆的伪线性复合系统。基于S7-300PLC试验平台,分别研究伪线性复合系统的开环特性和闭环特性,试验结果表明神经网络广义逆控制方法不但可以实现系统的解耦,而且可以使伪线性化后的子系统开环稳定,附加闭环控制器的问题就迎刃而解。     

基于自适应转子电阻估计器的感应电机逆解耦控制

提出了一种具有自适应转子电阻估计器的感应电机的逆解耦控制方法.首先通过非线性状态反馈获得感应电机的逆系统,将感应电机这个多变量、非线性、强耦合的对象动态解耦成转速与转子磁链两个二阶子系统;然后,采用模型参考自适应系统（MRAS）理论来设计转子电阻估计器,在线估计时变的转子电阻,从而保证在整个电机运行区域内,转速与磁链之间的输入输出解耦关系不变;最后,分别设计线性控制器对转速与磁链子系统进行闭环控制.仿真结果表明,提出的控制方案具有优良的动态和静态性能,且对电机参数变化具有强鲁棒性.     

永磁同步电机神经网络逆解耦控制研究

针对永磁同步电机的非线性、多变量、强耦合的特点,将神经网络与逆系统解耦方法相结合,并用于永磁同步电机的解耦控制.分析永磁同步电机的数学模型与解析逆模型,完成系统可逆性证明,将永磁同步电机与解析逆系统等效成两个伪线性子系统,构造神经网络逆系统,将永磁同步电机动态解耦为一阶线性磁链子系统与二阶线性转速子系统,利用两个PID控制器对伪线性子系统进行闭环控制器设计,实现系统转速与定子磁链动态解耦控制.利用dSPACE半物理仿真系统完成神经网络训练数据的采集与系统解耦控制实验.结果表明神经网络逆系统方法可以实现永磁同步电机的高新能控制,对负载扰动具有较强的鲁棒性.     

永磁同步电机的神经网络逆动态解耦控制

永磁同步电机是一个非线性、强耦合系统，应用神经网络逆系统方法对永磁同步电机进行动态解耦控制研究。通过对永磁同步电机的数学模型可逆性分析，得出解析逆系统，由解析逆系统与永磁同步电机原系统复合成两个伪线性子系统来构造神经网络逆系统，使永磁同步电机动态解耦成二阶线性转速子系统和一阶线性磁链子系统，并采用鲁棒伺服控制器对伪线性子系统进行线性闭环控制器的设计，实现永磁同步电机转速和定子磁链的动态解耦，仿真表明系统具有良好的动静态性能。     

感应电机的神经网络逆系统线性化解耦控制

提出了一种新的感应电机的线性化解耦控制方法，其特点是不依赖于对象的精确数学模型与参数。通过用静态神经网络加积分器来构造感应电机的逆系统，将感应电机这一多变量、非线性、强耦合的复杂对象动态解耦成转速与转子磁链两个二阶线性子系统，然后运用线性系统理论进行综合。仿真与初步的实验结果表明系统具有优良的静态及动态解耦性能，且对电机参数的变化与负载扰动具有较强的鲁棒性。     

基于模糊补偿的无轴承同步磁阻电机径向位置逆控制

给出无轴承同步磁阻电机转子径向位置的控制模型,针对多变量、强耦合的径向位置非线性系统,提出一种基于模糊补偿的被控电机转子径向位置逆控制方法,证明该径向位置系统可逆,推导出其逆系统模型,将其精确线性化成一个伪线性系统,从而将径向位置系统解耦为两个独立的二阶线性子系统.为对已解耦的径向位置系统进行综合,在常规PID控制器基...     

基于GA-RBF神经网络逆的两电机同步控制

以多变量、非线性、强耦合的两电机同步控制系统为研究对象,提出了基于遗传算法的径向基函数(GA-RBF)神经网络逆的两电机同步控制方法。根据给定的性能指标,采用遗传算法对RBF神经中心进行优化,在此基础上串联RBF神经网络逆与两电机系统,构建复合伪线性系统。这一复杂控制对象即可解耦成转速与张力两个线性子系统,进而通过设计线性闭环调节器实现了解耦控制。实验结果表明,采用GA-RBF神经网络逆的两电机系统,对速度和张力实现了较好的解耦控制,且具有较强的抗干扰能力。     

应用极点配置理论的新型高压直流输电的控制器仿真

本文着重研究基于同步旋转坐标系下电压源型高压直流输电的暂态数学模型,提出一种采用极点配置理论设计的电压源型高压直流输电系统的控制器。基于状态反馈线性化的逆系统方法,推导了电压源型高压直流输电系统的逆系统模型,并构造出伪线性系统,实现了对电压源型高压直流输电系统有功功率和无功功率的解耦,最后采用极点配置方法对该伪线性系统进行综合,设计了相应的控制器。仿真结果表明,基于逆系统理论采用极点配置方法设计的控制器在大扰动下的动态响应特性优良。     

New mathematical models of an induction motor using a minimum number of parameters

This paper proposes new mathematical models of an induction motor that generates torque precisely under vector control. The proposed models for the controlled motor have desirable features in respect to preciseness and compactness. They guarantee the same relation between the stator voltage and current signals as does the conventional T‐type model consisting of five parameters. The number of parameters forming the new models is reduced to four, such as stator resistance, inverse of rotor time constant, stator inductance, and stator total leakage inductance, or another set of four related uniquely to them. The parameters are uniquely determined by the stator signals, in terms of which all controller parameters of the vector control system can be designed. ©1998 Scripta Technica, Electr Eng Jpn, 126(2): 48–55, 1999     

Small-signal stability analysis of vector control system of induction motor without speed sensor using synchronous current regulator

This paper presents a stability analysis of a speed sensorless vector control (SSVC) system of an induction motor. The stability analysis takes into account the effects of three current control loops. The poles and zeros of the transfer functions for the rotor speed are calculated to investigate the influences of controller parameters and motor parameters. The theoretically derived step responses are compared with the experimental results. Also, the Bode diagrams of the transfer functions for the torque producing current are calculated. The settling time of the step responses of the rotor speed for the various designs of the current regulator (CR) is studied. This paper discusses the suitability of different CR methods for the SSVC system of an induction motor.     

A generalized method of controlled voltage source-fed induction motor vector control using the observer theory

Vector control of induction motors is widely used for industrial applications. On-line parameter identification and speed sensorless control are being studied actively. A representative method for these problems is the application of an adaptive full-order observer. The rotor flux for vector control is estimated by a full-order observer and machine parameters, or the rotor speed is determined by an adaptive algorithm. In this paper, a new vector control scheme with parameter identification is proposed. This method is based on the adaptive full-order observer. However, the observed currents which are usually estimated in the voltage model are considered as command currents and the voltage model is used for the current controller. As a result, the proposed system is simpler than the conventional adaptive full-order observer system. Since the proposed system is composed of an induction motor model in a synchronously rotating reference frame, the well-known slip frequency control block is contained. The arrangement of the poles which are related to the torque transfer function is discussed. A linear model is derived taking into account the effects of the change of the stator and rotor resistances. The trajectories of poles and zeros of the torque transfer function are computed and discussed for various system parameters. Identification of stator and rotor resistances is confirmed by simulation using a nonlinear system model. The proposed idea is applied to a speed sensorless system; this system has a similar configuration to those of existing systems under some assumptions. © 1997 Scripta Technica, Inc. Electr Eng Jpn, 119(4): 66–76, 1997     

异步电动机转子电阻在线辨识和反步速度控制

针对异步电动机转子电阻变化会对矢量控制产生影响的问题,采用极点配置的方法设计异步电动机状态全阶观测器,以实时估计转子磁链。以异步电动机自身作为参考模型,设计的全阶观测器为可调模型,构建模型参考自适应系统,采用波波夫超稳定性理论来设计转子电阻在线辨识算法,避免转子电阻变化对矢量控制系统的影响。设计反步控制器,以获得更快的动态响应速度和更好的稳态性能。仿真实验证明,该算法可以快速地估计转子电阻,提高控制系统的控制精度。     

Stability analysis of sensorless speed control of IPMSM

In the speed control of an interior permanent magnet synchronous motor (IPMSM), for stability reasons, the closed‐loop pole positions should be on the left‐hand side of the S‐plane, and for fast response requirements these poles should have a small time constant. Unfortunately, the motor poles have a very long time constant, which makes the system response very slow. To solve this problem, the zeros of PI controllers are used to compensate the motor poles. As the motor operates, the temperature increases, which changes the parameters of the motor and, accordingly, the motor poles change their position so the PI controller cannot compensate these poles. To solve this problem, many parameter estimation algorithms have been used to detect new parameter values and adapt the PI controller gains so that to compensate the motor poles continually. These parameter estimation algorithms complicate and add cost to the system. This paper demonstrates that, for a temperature up to 70 °C, the system is capable of giving fast response and stable operation by using a good design of the PI controller regardless of the parameter changes.     

片状无轴承磁电机的研究

研究了一种新型的片状无轴承永磁电机的工作原理和结构设计，只须控制转子的两个径向自由度，就能够实现磁悬浮并驱动电机旋转；当电机极对数33时，径向磁悬浮力与电机转矩互不耦合，可以独立设计磁悬浮轴承与电机的控制系统；提出了新的、工艺性好的绕线方法，只需在单个磁极上绕线，不需要跨磁极绕线；研制了电气控制系统，包括双向电流型开关功率放大器、PID控制器等；设计、制造了内转子式的片状无轴承永磁电机样机；试验研究表明，研究的片状无轴承永磁电机成功地实现了磁悬浮，最高转速达到了3300 r/min，转子振幅<20 mm。     

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.     

同步旋转坐标系下感应电机神经网络逆控制

根据同步旋转坐标系下感应电机数学模型,基于控制转子磁链与转速的感应电机电流控制型结构,给出了电流控制型感应电机解析逆控制方法的一般形式的控制律,采用神经网络逼近解析逆控制律,解决由于参数变化和观测量不准带来的解耦被破坏问题.理论分析表明,此方法可以实现感应电机系统的自适应解耦及线性化,弱化了转子磁链与转速之间的耦合程度,简化了外环线性控制器的设计,提高了整个系统控制性能.最后,对感应电机系统控制进行仿真及实验研究来验证该方法的有效性.     

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