A new robust speed-sensorless control strategy for high-performance brushless DC motor drives with reduced torque ripple

This paper presents an analysis, design, and strategy of a high-performance speed-sensorless control scheme for estimating the phase-to-phase trapezoidal back-EMF of BLDC motor drive by means of a novel stochastic deconvolution technique in the H_∞ setting, named robust stochastic H_∞ deconvolution filter. In the proposed method, unlike the conventional observer-based approaches, the back-EMF is considered as an unknown input, and no need is felt for the constancy assumption of the rotor position and speed of machine within a short period of the time in the modeling of the BLDC motor which leads to ignoring the back-EMF dynamic at high and variable speed. In addition, since high-speed operation is vital for the motor, an improved approach has also been proposed to reduce the commutation-torque-ripple at high-speed for direct torque control (DTC) strategy of three-phase BLDC motor with 120° conduction mode in parallel with the proposed method due to the fact that drive performance intensely downgrades in this mode.     

A new fuzzy logic estimator for reduction of commutation current pulsation in brushless DC motor drives with three-phase excitation

Under the operation of brushless DC motor with three-phase excitation, commutation current pulsation is produced at each commutation at high-speed region. As it can be eliminated when the current slew rates are made equal, a simple and effective fuzzy logic estimator (FLE) is presented first time in the literature to reduce such current pulsation. Its function is to simply regulate the commutation angle accurately to maintain the same current slew rates of commutated phases during commutation, thereby keeping the other phase current unchanged. Unlike previous studies, the presented method does not require torque observer or detection circuits for sensing commutation interval, in addition to commutation time calculation. A genetic algorithm is employed for optimal definition of the FLE’s rule base. The presented method is tested by the accurate simulation, and it is proved that the proposed method is quite capable of reducing the commutation current pulsation and improving the motor output power.

     

Extracting DC bus current information for optimal phase correction and current ripple in sensorless brushless DC motor drive

Brushless DC motor （BLDCM） sensorless driving technology is becoming increasingly established. However, op- timal phase correction still relies on complex calculations or algorithms. In finding the correct commutation point, the problem of phase lag is introduced. In this paper, we extract DC bus current information for auto-calibrating the phase shift to obtain the correct commutation point and optimize the control ofBLDC sensorless driving. As we capture only DC bus current information, the original shunt resistor is used in the BLDCM driver and there is no need to add further current sensor components. Software processing using only simple arithmetic operations successfully accomplishes the phase correction. Experimental results show that the proposed method can operate accurately and stably at low or high speed, with light or heavy load, and is suitable for practical applications. This approach will not increase cost but will achieve the best performance/cost ratio and meet market expectations.     

直流力矩电机力矩波动抑制方法比较

针对直流力矩电机低速运行时,力矩波动显著的问题,分析了力矩波动产生的原因、机理并通过试验测出实际系统的力矩波动量对稳速性能的影响.建立了单速度闭环,电流、速度双闭环和状态观测器直流力矩电机控制系统的数学模型三种抑制方法,试验结果表明应用电流、速度双闭环方法可以将直流力矩电机力矩波动降低约50%.     

无刷直流电机直接转矩控制系统的设计

针对无刷直流电机直接转矩控制系统速度环节存在的非线性饱和特性,引用新型变结构抗饱和Anti-windup PI控制器,根据控制器的输出是否饱和,对积分状态进行控制。当控制器进入饱和状态,通过调节可以有效地退出饱和;当控制器处于线性区,保证系统渐进稳定。同时利用模糊理论对控制参数进行在线调整,使系统具有更好的实时性。仿真表明,该方法能够有效地抑制饱和现象,减少超调量,使系统具有更好的动静态性能。     

一种新型的无刷直流电动机换相控制算法

在分析RC硬件滤波器及FIR数字滤波器的基础上,设计了反电动势过零硬件检测电路和软件检测算法,并利用Matlab拟合换相角的频率特性曲线将硬件预估和软件计算得到的结果按随电机运行频率变化的权重进行融合,得到与实际更吻合的换相角。使用DSP控制器实现该算法,能在各种频率下精确地控制BLDCM稳定运行。验证了该方法的合理性和有效性,为无位置传感器无刷直流电机的控制提供了一种新的方法。     

基于dsPIC30F6010的无传感器无刷直流电机控制

本文使用dsPIC30F6010来控制无传感器无刷直流(brushless DC,BLDC)电机,采用反电动势过零检测技术来确定转子的位置,两种可选的起动方法以适应特定负载,使用内部电流控制环来设置PWM占空比,速度控制环作为外部控制环。所实现的无传感器控制算法特别适用于风扇和泵。     

基于STM32的有感直流无刷电机控制器

设计了基于STM32处理器的有位置传感器的直流无刷电机控制器,采用电子换相取代传统有刷电机的电刷换相,弥补了传统有刷电机寿命短、发热严重问题。直流电机转子位置信息通过霍尔传感器检测,根据电机换相原理,控制器输出PWM波到智能逆变器IPM驱动电机运行。移植网络协议LWIP对工业现场电机进行统一管理。     

电流滞环跟踪控制的永磁无刷直流电机回馈制动的研究

对电流环采用电流滞环跟踪控制技术的无刷直流电机控制系统进行了研究,提出了电流反相控制回馈制动方式,即通过控制电机相反电势和相电流的相位关系来控制电机运行状态的控制方法,将电机在正向电动、正向制动、反向电动、反向制动四种运行状态下的控制算法统一起来.仿真实验表明,该系统动态响应性能好,其控制策略具有实现简便、可靠性高的特...     

基于自抗扰技术的网络化无刷直流电机控制系统时延补偿

采用自抗扰控制技术解决网络化无刷直流电机转速控制系统的时延补偿问题. 首先, 建立含有时变网络诱导时延的无刷直流电机控制系统模型, 并将时变时延引起的不确定动态描述为系统模型的不确定性; 然后, 设计自抗扰控制器, 对时延引起的不确定动态进行动态线性化补偿, 从而消除时变时延对系统性能的影响; 最后, 通过仿真研究表明了所设计的自抗扰补偿方法的有效性和优越性.

     

无刷直流电动机积分反演模糊滑模控制

针对普通的无刷直流电动机控制策略受电动机本身因素影响,难以达到理想效果的问题,介绍了一种积分反演自适应滑模变结构控制和模糊控制相结合的控制器。该控制器在滑模面中加入积分项,实现了对速度信号的无静差跟踪,提高了系统的稳态精度;用模糊控制器来解决切换控制增益设定只能靠经验的问题;采用模糊控制算法对不确定性进行估计,有效地减小了滑模控制方法带来的抖振;为了进一步提高控制性能,重新设计了趋近律。仿真结果表明,该控制器能够大幅提升无刷直流电动机控制系统的性能。     

无刷直流电动机积分反演模糊滑模控制

针对普通的无刷直流电动机控制策略受电动机本身因素影响,难以达到理想效果的问题,介绍了一种积分反演自适应滑模变结构控制和模糊控制相结合的控制器。该控制器在滑模面中加入积分项,实现了对速度信号的无静差跟踪,提高了系统的稳态精度;用模糊控制器来解决切换控制增益设定只能靠经验的问题;采用模糊控制算法对不确定性进行估计,有效地减小了滑模控制方法带来的抖振;为了进一步提高控制性能,重新设计了趋近律。仿真结果表明,该控制器能够大幅提升无刷直流电动机控制系统的性能。     

Fuzzy adaptive single neuron NN control of brushless DC motor

Inherently, the brushless DC motor (BLDCM) is a nonlinear plant. So, it is hard to get a good performance by using the conventional PI controller for the speed control of BLDCM. In this paper, a fuzzy adaptive single neuron neural networks (NN) controller for BLDCM is developed. The fuzzy logic system (FLS) is adopted to adjust the parameter K of single neuron NN controller online. By this way, performance of the system can be improved. Performances of the proposed fuzzy adaptive single neuron NN controller are compared with the performances of conventional PI controller and normal single neuron NN controller. The experimental results demonstrate that a good control performance is achieved. The using of fuzzy adaptive single neuron NN makes the drive system robust, accurate, and insensitive to parameter variations.     

矿井提升机直接转矩控制系统转矩脉动最优控制

针对矿井提升机直接转矩控制系统低速段运行时存在转矩脉动过大的问题,提出了一种矿井提升机转矩脉动最优控制方法。该方法以预测模型为基础,采用零电压矢量注入方式进行最优电压矢量的占空比调整。整个占空比计算过程以转矩脉动最小为设计指标,采用在线计算的方式实时获得最优占空比。实验结果表明,该方法在低速时可有效减小电动机转矩脉动,获得优异的转矩控制性能。     

矿井提升机直接转矩控制系统转矩脉动最优控制

针对矿井提升机直接转矩控制系统低速段运行时存在转矩脉动过大的问题,提出了一种矿井提升机转矩脉动最优控制方法。该方法以预测模型为基础,采用零电压矢量注入方式进行最优电压矢量的占空比调整。整个占空比计算过程以转矩脉动最小为设计指标,采用在线计算的方式实时获得最优占空比。实验结果表明,该方法在低速时可有效减小电动机转矩脉动,获得优异的转矩控制性能。     

无刷直流电机的RBF神经网络自适应控制研究

针对传统PID控制器在无刷直流电机控制时的鲁棒性差、精度低等缺点,在分析BLDCM数学模型的基础上,设计了RFBNN自适应PID控制器应用于无刷直流电机控制系统。通过Matlab/Simulink环境下的仿真实验表明,与传统的PID控制方法相比,该方法大大改善了系统的动态特性,减小了系统的稳态误差,提高了系统的自适应能力和抗干扰能力,满足了系统的控制性能要求。     

Super twisting observer based repetitive control for aperiodic disturbance rejection in a brushless DC servo motor

This paper presents a super twisting observer based repetitive control (STORC), which can not only track the periodic signals precisely, but also reject aperiodic disturbances. Firstly, a stable repetitive control (RC) is designed based on the small gain theorem to track the periodic references, and compensate the periodic disturbances. Secondly, a robust exact differentiator is employed to estimate the velocity required by the disturbance observer. Finally, the super twisting observer (STO) is constructed to reject aperiodic disturbances, and input unmatched periodic disturbances with reduced chattering. The stability analysis is conducted and the design conditions are derived for a stable system. The proposed algorithm is simulated in MATLAB Simulink, and verified on a brushless DC servo motor in real time to demonstrate the effectiveness. The comparison studies highlight the advantages of the proposed algorithm.     

无刷直流电机转速伺服系统反步高阶滑模控制

针对无刷直流电机转速伺服系统高性能非线性鲁棒控制, 提出一种新型的多滑模反步高阶滑模非线性控制方法. 在控制律设计的每一步都引入二阶滑模Super-Twisting 算法, 无需计算变量导数, 消除了滑模抖振, 并在第1 级子系统虚拟控制律设计中提出一种改进的二阶滑模Super-Twisting 算法. 与传统双闭环PI 控制相比, 能够令系统的动静态性能更好, 转矩脉动更小, 鲁棒性更强; 与标准Super-Twisting 算法相比, 进一步提高了系统对阶跃负载扰动的抑制能力. 最后通过仿真分析表明了所提出方法的有效性.

     

Speed control of brushless DC motor by adaptive network-based fuzzy inference

Microsystem Technologies - Brushless dc (BLDC) motor provides many advantages such as less power consumption, small volume, good stability, larger torque and simple control. As a result, the...