Genetic algorithm and particle swarm optimization tuned fuzzy PID controller on direct torque control of dual star induction motor

This study presents analysis, control and comparison of three hybrid approaches for the direct torque control (DTC) of the dual star induction motor (DSIM) drive. Its objective consists of combining three different heuristic optimization techniques including PID-PSO, Fuzzy-PSO and GA-PSO to improve the DSIM speed controlled loop behavior. The GA and PSO algorithms are developed and implemented into MATLAB. As a result, fuzzy-PSO is the most appropriate scheme. The main performance of fuzzy-PSO is reducing high torque ripples, improving rise time and avoiding disturbances that affect the drive performance.

A novel fuzzy logic direct torque controller for a permanent magnet synchronous motor with a field programmable gate array

A high-performance digital servo system built on the platform of a field programmable gate array (FPGA),a fully digitized hardware design scheme of a direct torque control (DTC) and a low speed permanent magnet synchronous motor (PMSM) is proposed. The DTC strategy of PMSM is described with Verilog hardware description language and is employed on-chip FPGA in accordance with the electronic design automation design methodology. Due to large torque ripples in low speed PMSM,the hysteresis controller in a conventional PMSM DTC was replaced by a fuzzy controller. This FPGA scheme integrates the direct torque controller strategy,the time speed measurement algorithm,the fuzzy regulating technique and the space vector pulse width modulation principle. Experimental results indicate the fuzzy controller can provide a controllable speed at 20 r min-1 and torque at 330 N m with satisfactory dynamic and static performance. Furthermore,the results show that this new control strategy decreases the torque ripple drastically and enhances control performance.

Direct-Torque Neuro-Fuzzy Control of Induction Motor

Fuzzy systems are currently being used in a wide field of industrial and scientific applications.Since the design and especially the optimization process of fuzzy systems can be very time consuming,it is convenient to have algorithms which construct and optimize them automatically.In order to improve the system stability and raise the response speed,a new control scheme,direct-torque neuro-fuzzy control for induction motor drive,was put forward.The design and tuning procedure have been described.Also,the improved stator flux estimation algorithm,which guarantees eccentric estimated flux has been proposed.

基于ISSA-Fuzzy-PID算法的无刷直流电机调速控制系统

为了使无刷直流电机(BLDCM)从复杂多变的非线性关系中找出最佳PID参数,提出了一种基于改进麻雀算法(ISSA)优化模糊(fuzzy)控制的调速系统。根据BLDCM工作原理及控制方法在MATLAB平台上搭建仿真模型并加入反向学习策略初始化麻雀种群,形成非线性时变控制系统,并将该优化系统与传统PID以及模糊PID(fuzzy-PID)控制系统进行对比分析。仿真结果表明,基于ISSA-Fuzzy-PID的调速控制系统有较快的动态响应,有效增强了BLDCM转速控制的精度和鲁棒性。

Performance Analysis of Optimization Based FOC and DTC Methods for Three Phase Induction Motor

Three-phase induction motors are becoming increasingly utilized in industrialfield due to their better efficiency and simple manufacture.The speed control of an induction motor is essential in a variety of applications,but it is dif-ficult to control.This research analyses the three-phase induction motor’s perfor-mance usingfield-oriented control(FOC)and direct torque control(DTC)techniques.The major aim of this work is to provide a critical evaluation of devel-oping a simple speed controller for induction motors with improving the perfor-mance of Induction Motor(IM).For controlling a motor,different optimization approaches are accessible;in this research,a Fuzzy Logic Controller(FLC)with Fractional Order Darwinian Particle Swarm Optimization(FODPSO)algorithm is presented to control the induction motor.The FOC and DTC are controlled using FODPSO,and their performance is compared to the traditional FOC and DTC technique.Each scheme had its own simulation model,and the results were com-pared using hardware experimental and MATLAB-Simulink.In terms of time domain specifications and torque improvement,the proposed technique surpasses the existing method.

正压呼吸防护面罩中无刷电机的模糊PID控制

正压呼吸防护面罩是作为医护工作者抗击新型冠状病毒(SARS-CoV-2)所使用的个体防护装备。本文忽略呼吸扰动等因素对送风子系统所产生的干扰,以送风子系统中的无刷直流电机为研究对象,建立无刷直流电机的数学模型;在MATLAB/Simulink环境中建立无刷直流电机转速PID控制模型,但由于无刷直流电机存在非线性、时变性等特点,导致PID控制对送风子系统中无刷直流电机的控制效果并不理想。然而,由于模糊控制不需要被控对象的精确模型,所以可以使用模糊PID来完成对送风子系统中无刷直流电机的控制优化。通过仿真实验结果表明:使用模糊PID控制系统的稳定性优于PID控制系统,无刷直流电机控制性能得到提升。

基于模糊空间矢量调制直接转矩控制技术研究

针对SVM-DTC系统电机中低速运行存在电磁转矩脉动大的问题,提出了一种基于模糊SVM-DTC方法。通过优化电压空间矢量合成方法,细化电压空间矢量参数表,构建模糊磁链控制器模型和模糊转矩控制器模型,并将2个模糊控制器模型替换到SVM-DTC系统的PI控制器模型。通过理论分析和仿真对比模糊SVM-DTC模型和SVM-DTC模型,验证了模糊SVM-DTC系统的优越性。结果表明,交流电机在中低转速下,模糊SVM-DTC电机电流平滑,定子磁链光滑,电磁转矩脉动变小,电机转速平稳。

基于模糊自适应PID的SRM直接转矩控制系统研究

针对传统模糊控制器在控制过程中存在超调量大、控制精度不高以及静差等问题,提出了一种基于优化模糊自适应PID的开关磁阻电机控制方法。利用改进蝙蝠算法对模糊控制器进行优化,以外环模糊自适应PID控制器的输出变量为内环控制系统的参考转矩,送入直接转矩控制系统。仿真结果表明,经过算法优化的模糊自适应PID控制器在动态性能和鲁棒性方面明显优于传统模糊PID控制器,成功克服了模糊控制中存在的稳态误差和抗干扰能力不足的问题,有效解决了系统上升时间和超调之间的矛盾,同时显著减少了电机转矩的脉动。

异步电动机矢量控制系统Fuzzy-PI控制器的设计

针对异步电动机动态数学模型的非线性特性,提出并设计了兰个Fuzzy -PI复合控制器,分别对直接矢量控制系统中的速度,转矩和磁链进行控制。最后利用Matlab软件对系统进行了仿真研究。仿真结果表明:Fuzzy -PI复合控制器具有良好的控制效果,优于一般模糊控制器和PI控制器,能够改善系统的动态和静态性能。

Comparative Study of the DTC-IM Speed Controller Based on Artificial Intelligence

Recently, artificial intelligence technique is increasingly receiving attention in solving complex and practical problem and they are widely applying in electrical machine domain. The authors consider also the direct torque control （DTC） as an alternative to conventional methods of control by pulse width modulation （PWM） and by Field oriented control （FOC）, so the application of the DTC based on artificial intelligence can show more advantages and simplified control algorithms with high performance. For this reason, the objectives of this paper can be divided into two parts, the first part is to apply neural networks and fuzzy logic techniques to the DTC control in the presence of a loop speed control comparing to the conventional regulators （as PI） to show the feasibility of these approaches, the second part is to further improve the performance of the neural network by using a neural-fuzzy regulator which combine the advantages of two techniques. Simulation results confirm the validity of the proposed techniques.

基于模糊控制的BLDC在汽车座椅控制系统中的应用

针对用于汽车电动座椅的无刷直流电机对控制系统动态性能和噪音的要求,文中设计了以S12ZVML128为核心的硬软件控制系统。硬件上添加RC低通滤波电路以提高霍尔传感器采集转子位置信息时的抗干扰能力。软件上根据直流无刷电机控制系统的非线性特点,针对速度环提出以trimf作为隶属度函数的模糊PI控制策略。通过Simulink仿真和实验表明:该控制系统具有较好的动态性能,转速误差率可以控制在0.3%以内。在转速3000 r/min、负载75 kg的工况下,噪音可降低9.5%。

齿轮加工机床用永磁同步电机直接转矩控制方法

针对齿轮加工机床的高精度伺服控制需求,改进永磁同步电机并提出一种自动化的直接转矩控制方法。根据齿轮加工机床传动装置特点与通用型永磁同步电机结构,将呈圆周分布的定子改为直线分布形式,用初级部件、次级部件代替定子、转子。依据永磁同步直线电机结构与子系统的分析情况,通过转矩估计、磁链估计和模糊自适应控制等阶段,实现直接转矩控制的自动化控制。选取七轴五联动数控弧齿锥齿轮磨齿机作为实验对象,设置电机与所提方法的相关技术参数后,检验永磁同步直线电机性能与直接转矩控制性能。实验结果表明,经所提方法控制后的电机稳定性与散热性良好,证明所提方法对电机负载状态具有较好的自适应性,自动控制效果较为理想。

交流异步电机直接转矩自动解耦矢量控制方法

交流异步电动机是一种对电能进行转换的电力拖动装置,因在工作过程中易受强耦合性、非线性、外界因素等问题的干扰,导致对其控制效果差、能量损耗大,为此,该文提出交流异步电机直接转矩自动解耦矢量控制方法。采用直接转矩策略降低电机的耦合振动与磁链振动,构建矢量控制模型,实现电流与电压的静态解耦。通过自动解耦策略、模糊控制器与低通滤波器,在改善交流异步电机动态性能的基础上提高电机矢量控制模型的精度,完成交流异步电机的控制。实验结果表明,所提方法在额定转速与转速突变情况下与给定波形的差距最小、能量损耗低于112 V,具有良好的控制效果。

Comparative study of various artificial intelligence approaches applied to direct torque control of induction motor drives

In this paper, three intelligent approaches were proposed, applied to direct torque control （DTC） of induction motor drive to replace conventional hysteresis comparators and selection table, namely fuzzy logic, artificial neural network and adaptive neuro-fuzzy inference system （ANFIS）. The simulated results obtained demonstrate the feasibility of the adaptive network-based fuzzy inference system based direct torque control （ANFIS-DTC）. Compared with the classical direct torque control, fuzzy logic based direct torque control （FL-DTC）, and neural networks based direct torque control （NN- DTC）, the proposed ANFIS-based scheme optimizes the electromagnetic torque and stator flux ripples, and incurs much shorter execution times and hence the errors caused by control time delays are minimized. The validity of the proposed methods is confirmed by simulation results.

基于模糊控制调节电压矢量作用时间策略的永磁同步电机直接转矩控制仿真研究

讨论了永磁同步电机直接转矩控制转矩脉动问题,针对永磁同步电机直接转矩控制存在较大脉动转矩的缺点,提出了一种模糊调节电压矢量作用时间的永磁同步电机直接转矩控制策略。即在常规永磁同步电机直接转矩控制系统的基础上,根据转矩偏差和转矩偏差的变化率,模糊调节电压矢量作用时间,以减小转矩脉动。仿真结果表明基于模糊调节电压矢量作用时间策略的永磁同步电机直接转矩控制的脉动转矩大大地减小。

基于模糊逻辑的永磁同步电动机直接转矩控制

对永磁同步电动机直接转矩控制系统特性进行了深入分析 ,对其动、静态特性的改善进行了深入研究。以提高系统响应速度和减小转矩脉动为目标引入了模糊逻辑思想 ,将定子磁链误差、转矩误差和磁链角度进行了合理的模糊分级 ,以利准确选择电压空间矢量 ,改善磁链、转矩的平稳性及快速性。将定子磁链角度进行映射处理 ,以减少模糊控制规则数 ,缩短控制计算时间 ,加快响应速度。仿真结果表明 。

电磁型混合磁极直接自适应模糊悬浮控制方案的研究

电磁型电磁永磁混合悬浮磁悬浮列车的悬浮系统是一个开环不稳定、强非线性时变系统。该文在分析了混合悬浮系统的工作原理的基础上,给出了一种电磁型磁悬浮系统直接自适应模糊控制器的设计方法。为了使控制算法在气隙变化的情况下能更快地收敛,提出了一种新的复合自适应算法。该算法能更加充分利用已有的先验知识,从而使系统的动态响应速度更快,跟踪误差更小。计算机仿真和实验结果都验证了理论分析的正确性。

基于模糊控制的直接转矩控制系统研究

针对传统直接转矩控制系统DTC(Direct Torque Control)采用的Bang-Bang控制在误差偏大与偏小时选择相同的空间电压矢量的问题,提出用模糊控制器替换传统直接转矩控制系统中的滞环比较器和开关矢量表的策略,以实现提高转矩动态响应速度,减小磁链和转矩的脉动。引入模糊逻辑,将转矩误差、定子磁链误差和磁链角进行模糊分级,以便根据误差大小合理地选择空间电压矢量。对模糊变量进行模糊逻辑运算,得到合适的空间电压矢量对感应电动机进行控制。详细介绍了模糊控制器的设计。给出了模糊直接转矩控制系统的硬件和软件设计。仿真结果表明,系统在起动与转速突变时响应变快,转矩和磁链脉动减小,动、静态性能得到改善,应用在对转矩动态响应要求较快的场合有良好的效果。

无刷直流电机直接转矩模糊控制研究

为简化无刷直流电机控制系统的结构同时又能使其具有较快的转矩响应速度,论文提出一种新颖的控制方案,将直接转矩控制和模糊控制相结合应用于无刷直流电机控制系统中。直接转矩控制省掉了复杂的矢量变换,使系统结构简单且响应迅速,但是转矩脉动相对较大;而模糊控制鲁棒性强,根据转矩偏差和转矩偏差的变化率,模糊调节电压矢量作用时间,减小转矩脉动。新型的控制策略不仅具有良好的动态特性和简单的结构,其它性能也可与传统的无刷直流电机控制系统相媲美。利用MATLAB对系统进行了仿真,并对两种不同控制方法的实验结果进行比较。通过比较可以看到模糊直接转矩控制方法实现了对转矩和电流的有效控制,更优于传统的控制方法。

基于模糊零矢量永磁同步电机直接转矩控制

针对传统永磁同步电机直接转矩控制中的转矩脉动问题,对传统直接转矩控制中产生转矩脉动的机理、零矢量在永磁同步电机直接转矩控制中的作用进行了详细分析。通过采用带零矢量的模糊控制器代替传统的滞环比较器,构建了一种基于模糊零矢量的永磁电机直接转矩控制方法,实现了永磁同步电机磁链和转矩的协同控制,将磁链偏差和转矩偏差进行合理的模糊分级,有效地抑制了转矩脉动,同时保持了直接转矩控制的响应速度快和鲁棒性强的优点。仿真和实验验证了该方法的可行性和有效性。