Fuzzy adaptive speed control of a permanent magnet synchronous motor

A fuzzy adaptive speed controller is proposed for a permanent magnet synchronous motor (PMSM). The proposed fuzzy adaptive speed regulator is insensitive to model parameter and load torque variations because it does not need any accurate knowledge about the motor parameter and load torque values. The stability of the proposed control system is also proven. The proposed adaptive speed regulator system is implemented by using a TMS320F28335 floating point DSP. Simulation and experimental results are presented to verify the effectiveness of the proposed fuzzy adaptive speed controller under uncertainties such as motor parameter and load torque variations using a prototype PMSM drive system.     

基于自适应模糊滑模的PMSM无速度传感控制研究

为研究永磁同步电机（PMSM）在无速度传感器工况下的速度跟踪估计,以PMSM的工作原理为基础,建立了内埋式PMSM的数学模型。利用自适应模糊微分积分滑模鲁棒性强的优点,提出了在自适应模糊微分积分滑模控制条件下采用旋转高频电压注入法对电机转速估计的无速度传感器控制方案,并分析了电机在高低速运行时特点。仿真结果表明,采用高频注入法的自适应模糊微分积分滑模控制系统在高、低速工况下运行时稳定可靠,并具有较好的鲁棒性,能够实现速度跟踪估计。     

基于模糊理论的永磁同步电机直接转矩弱磁控制

针对现有永磁同步电机的直接转矩弱磁控制,难以做到实时监测负载条件和参数变化,只能在空载时实现全速运行问题,文中给出一种基于模糊控制理论的弱磁控制算法。该算法基于实时转速和转矩的变化,根据模糊理论智能地调节直接转矩控制中的磁链给定值,从而实现弱磁控制。通过Matlab/Simulink仿真验证了算法的正确性。     

Fuzzy optimization techniques applied to the design of a digital PMSM servo drive

This paper presents a novel design approach by applying gradient optimization with fuzzy step-sizing techniques to the design of a digital permanent magnet synchronous motor (PMSM) servo drive. The servo specifications and design variables are specified and analyzed to formulate a controller optimization problem. The servo responses are then fed back to evaluate the overall system performances, which can be expressed as objective functions with respect to the servo control parameters. According to the objective functions and design specifications, the servo control parameters can be properly tuned toward their optimal values by using the proposed optimization techniques. In order to improve the convergent rate of the optimization process, a fuzzy-logic based step-size tuning strategy is presented. Because of the nonlinear property of the digital servo drives, the tuned servo control parameters may be only optimal for a particular operating point, therefore, once the optimum design is achieved, the proposed fuzzy optimizing controller can perform as an intelligent tuner for on-line gain adaptation under different loading conditions. The proposed fuzzy optimization servo tuner has been realized under a PC-MATLAB-based environment with an on-line controlled digital PMSM servo drive. Simulation and experimental results indicate that the control parameters of a digital PMSM servo drive can be optimized for its dynamic responses under various load conditions.     

MATLAB/SIMULINK永磁同步电机无传感器矢量控制系统仿真

永磁同步电机矢量控制系统在电动汽车、轮船等交通运输领域具有广泛的应用前景。使用MATLAB/SIMULINK的仿真功能,采用模块化的设计结构,分别对速度环调节、电流PI（Proportion Integration）调节、SVPWM（Space Vector Pulse Width Module）波的产生、dq/αβ、双闭环的整个系统模型进行仿真研究。仿真在线调试,转子转速和转子转角、定子电流、以及转矩通过Scope模块进行观察,及时调整系统模型参数,使系统性能达到最佳化,实现了永磁同步电机矢量控制和正反转调速。结果表明该种控制方法具有很好的鲁棒性,且该种方法可以提高设计的效率并缩短系统设计时间。     

永磁同步电机优化控制

为了推进永磁同步电机在实际工程领域的应用,通过Matlab软件搭建了基于滑模变结构的永磁同步电机控制模型.为了使控制效果更加理想,提出了一种优化的指数滑模速度控制器,并针对这种连续的速度控制器在控制系统中进行了仿真.仿真结果表明,控制效果得到了很大改善.     

电动汽车用永磁同步电机模糊控制仿真

研究了电动汽车用的正弦波永磁同步电机模糊控制的仿真分析。分析了永磁同步电机用于矢量控制的数学模型，并建立了基于其数学模型的电机控制仿真软件包。通过对模糊PI控制方法的仿真实验，去验证所开发的电动汽车用的永磁同步电动机驱动系统具有良好的性能，能够很好地满足电动汽车性能要求。     

An optimal speed controller for permanent-magnet synchronous motordrives

An optimal control system synthesis method which can achieve vector and speed control simultaneously for permanent-magnet synchronous motor (PMSM) drives is proposed in this paper. A state-space multiple-input-multiple-output (MIMO) model for PMSM is first developed and the compensation for the nonlinearities in this model is discussed. A pseudo-linearized PMSM model is dynamically constructed through the state detection, and subsequently an optimal speed controller is developed based on this linearized model. The integral control technique is incorporated to eliminate possible speed offsets. A speed observer is further developed to eliminate the speed sensor from the drive     

基于RBF神经网络的永磁同步伺服电机控制系统

针对永磁同步电机控制系统,建立其磁场定向控制数学模型。运用增量式数字PID的方法实现对PMSM的传统PID控制策略。在此基础上,借助RBF神经网络的学习能力,进行PID控制器参数的自适应整定,进一步改善PID控制器的性能。同时,为提高RBF网络性能,采用粒子群算法对网络进行优化。仿真表明,与传统PID控制比较,基于RBF的PID控制系统能提高PID控制器的性能,改善了PMSM控制系统的收敛速度和跟踪精度。     

泵用永磁同步电动机变频调速控制系统设计

为了提高泵用永磁同步电机的工作效率,研制了一种永磁同步电机变频调速控制系统.该系统以80C196MC单片机为控制核心,采用简单的V/F变频控制方法达到较好的控制效果.针对该控制系统的硬件和软件实现进行了论述,并通过实验证明了该控制系统的可行性.     

Sliding Mode Observer-Based Fault Estimation for?Nonlinear Networked Control Systems

In this paper, a novel sliding mode observer-based fault estimation (FE) method is presented for a class of nonlinear networked control systems (NCSs) with Markov transfer delays. Firstly, the nonlinear NCS is described by a nonlinear discrete Takagi–Sugeno (T–S) fuzzy model using the Euler approximation method. Then, a sliding mode based nonlinear discrete observer is proposed such that the sliding motion of the error dynamical system is asymptotically stable on a designed surface. Then the FE can be achieved through this observer. Finally, an example is included to show the efficiency of the proposed method.     

永磁同步电机矢量控制的MATLAB仿真研究

在分析PMSM的数学模型和矢量控制理论的基础上,提出了PMSM的矢量控制建模的方法,利用MATLAB/SIMULINK软件环境的强大仿真功能,搭建PMSM的矢量控制双闭环模型,简单介绍了模型中各个组成部分:电流模块,速度模块,SVPWM模块,PMSM电机主体模块,并对仿真结果进行分析。     

基于dSPACE的永磁同步电机矢量控制系统研究

在讨论永磁同步电机转子三种基本结构基础上,建立了永磁同步电动机在旋转坐标系下的数学模型。提出基于转子磁链定向的永磁同步电机转速、电流双闭环矢量控制策略,并在Matlab/Simulink环境下搭建系统模型,进行仿真验证。最后,构造以dSPACE1103为核心的永磁同步电动机实验平台,对一台1.5kW的面贴式永磁同步电动...     

自调整模糊控制器在永磁同步电机矢量控制中的应用

模糊控制器对系统模型依赖程度低,性能优异,已经在许多场合得到了应用。传统的永磁同步电机矢量控制系统采用PI控制,在电机参数变化或负载波动较大时性能不佳。针对这一问题,本文设计了一种基于量化因子和比例因子自调整的自适应模糊控制器。仿真结果表明,与传统PI和基本模糊控制器相比,这种参数自调整模糊控制器能使系统具有更好的抗扰性和更优良的稳态性能。     

Speed tracking control of a permanent-magnet synchronous motor withstate and load torque observer

This paper is concerned with the speed tracking control problem for a permanent-magnet synchronous motor (PMSM) in the presence of an unknown load torque disturbance. After a brief review of the mathematical model of the PMSM, a speed tracking control law using the exact linearization methodology is introduced. The tracking control algorithm is completed by adding an extended observer which provides, on the one hand, the motor speed and acceleration and, on the other hand, estimates the unknown load torque. The stability of the closed-loop system composed of a nonlinear speed tracking controller and an observer is studied by the way of Lyapunov theory. Furthermore, the decoupling of the state observer and the load torque observer is discussed. Finally, a real-time implementation and the experimental results of the proposed control strategy are presented     

基于无传感器的BLDCM模糊自适应控制

为简化无刷直流电机控制系统的结构,使其具有较快的转矩响应速度,针对传统的PID控制方式在对BLDCM系统控制时,存在精度低、抗干扰能力弱等不足,提出了一种基于无传感器的反电势过零检测的参数自适应模糊PID集成控制方案。将模糊自适应PID控制应用到SLBLDCM控制系统中,建立无刷直流电机的数学模型,利用Matlab中的Fuzzy Toolbox和Simulink完成电机模糊自适应双闭环调速系统的仿真设计。仿真结果表明,控制系统运行平稳,速度跟踪快速准确,具有较高的控制精度和较好的鲁棒性。     

Adaptive gain scheduling with feedforward control system based on system model for PMSM

A feedforward controller for permanent magnet synchronous motor (PMSM) has been proposed in this study, and proportional and integral gain could be self-adaptive under different operating conditions. The control structure used in the feedforward system is the same as in the feedback control system. This control structure could guarantee independence of the speed command input to output with the disturbance input to output, which makes the system have better reference trajectory tracking and disturbances rejection. In order to obtain optimal control performance when the parameters are uncertain, a gain scheduling adaptive controller is used in the feedforward system. The proposed controller has been verified by the experimental and simulation results with less steady-state error and better dynamic response than the controllers without it under the condition of external load torque disturbance and PMSM parameter uncertainties.     

基于MRAS的永磁同步电机直接转矩控制系统的研究

研究了一种基于模型参考自适应无速度传感器的永磁同步电机直接转矩控制系统:将永磁同步电机的磁链模型作为参考模型,估算的定子磁链模型作为可调模型,设计了自适应定律对电机的转速与定子电阻同时进行跟踪辨识,使用空间电压矢量调制技术组成了永磁同步电机无速度传感器直接转矩控制系统。仿真实验结果表明该系统获得了近似圆形的定子磁链,在转速与转矩变化时均能准确的估算出电机转速,具有良好的动、静态性能。     

基于单霍尔传感器的转子位置检测电路的设计

在永磁同步电机矢量控制系统中,常需要高分辨率的转子位置信号.通过设计一个转子位置检测电路将低分辨率的霍尔信号转换成高分辨率的转子位置信号.详细分析了转子位置检测电路的原理,同时对该位置检测电路的静态预估误差和动态过程进行了分析.该电路用于一台高速永磁同步电机驱动系统中,实现了高速永磁同步电机的正弦波驱动的稳速控制.实验结果验证了该文所设计电路的可行性.     

A modular control scheme for PMSM speed control with pulsating torque minimization

In this paper, a modular control approach is applied to a permanent-magnet synchronous motor (PMSM) speed control. Based on the functioning of the individual module, the modular approach enables the powerfully intelligent and robust control modules to easily replace any existing module which does not perform well, meanwhile retaining other existing modules which are still effective. Property analysis is first conducted for the existing function modules in a conventional PMSM control system: proportional-integral (PI) speed control module, reference current-generating module, and PI current control module. Next, it is shown that the conventional PMSM controller is not able to reject the torque pulsation which is the main hurdle when PMSM is used as a high-performance servo. By virtue of the internal model, to ify the torque pulsation it is imperative to incorporate an internal model in the feed-through path. This is achieved by replacing the reference current-generating module with an iterative learning control (ILC) module. The ILC module records the cyclic torque and reference current signals over one entire cycle, and then uses those signals to update the reference current for the next cycle. As a consequence, the torque pulsation can be reduced significantly. In order to estimate the torque ripples which may exceed certain bandwidth of a torque transducer, a novel torque estimation module using a gain-shaped sliding-mode observer is further developed to facilitate the implementation of torque learning control. The proposed control system is evaluated through real-time implementation and experimental results validate the effectiveness.