无位置传感器的BLDC控制设计与调制优化

基于无位置传感器控制设计了一种可应用于三相直流无刷电机的驱动控制器,采用反电动势法检测转子位置,梯形波驱动控制方式实现BLDC电机的启转 、运行.介绍了BLDC运行原理及实现无位置传感控制方法,探讨了如何选择最佳调制方式及电机速度最快时的换相时机,并优化了调制方法.本文设计的控制器具有启转顺 、加速快 、防输出短路等特点,适用于多种高低速 、高低电压BLDC.     

基于NEC电子μPD78F1213的单电阻采样BLDC矢量控制系统

介绍了采用单电阻电流采样方法对电机的三相电流进行重构,并通过角度细分方法和PLL技术取得电机的实际位置角,从而进行矢量控制运算的电动自行车BLDC控制系统。系统中采用两相调制的SVPWM方法,在提高母线电压利用率的前提下降低了功率器件的开关损耗。相比目前在电动自行车控制领域所采用的两两通电的120°控制方式,本方法降低了系统的转矩脉动,提高了系统的平稳性。     

自适应有限拍感应电机电流控制器设计

基于有限拍方法设计了一种自适应矢量控制感应电机的电流控制器.通过差分消去电机模型中的反电动势,利用补偿电压进一步消除电流误差.针对电流控制器对电机参数变化敏感的问题,对电机参数进行在线辨识,保证控制器参数与电机的实际参数一致.仿真结果表明,定子电流在参数变化时能够实现对参考电流的快速跟踪,同时能获得良好的稳态性能.     

无刷直流电机智能控制系统的研究

基于对无刷直流(BLDC)电机的工作和控制原理的分析,提出了无刷直流电机的双闭环自适应模糊PID控制方案.采用模糊控制逻辑实现PID控制器参数的在线自整定,详细说明了自适应模糊PID控制器的设计方法.算法简单有效,易于实现无刷直流电机交流伺服系统的全数字化.用Matlab/Simulink对系统进行了仿真,仿真结果显示系统具有良好的静动态性能和较快的响应速度.     

车用冷却风扇的BLDC控制系统设计

目前,汽车引擎冷却风扇已由简单的继电器控制发展到了复杂的MCU及软件算法控制,与普通直流电机相比,无刷直流电机(BLDC)具有较高的功率密度、体积小及控制精度高等特征,可用于实现对冷却风扇的驱动.在研究四相双线绕组无刷直流电机机理的基础上,研制了一种车用冷却风扇的BLDC控制系统,选择合适的主控芯片XE162实现控制器对四相电机的控制.现场实验表明,该控制器性能稳定,运行可靠.     

基于蓝牙和互联网技术的BLDC电机远程控制系统

为了满足远程控制的需求,解决现有控制方案的不足,介绍了一种基于蓝牙和互联网技术的无刷直流(BLDC)电机远程控制系统。使用控制器集成蓝牙模块,通过蓝牙通信将控制器与服务器连接。客户端与服务器通过TCP协议实现网络通信。服务器作为互联网设计的通信节点,实行客户端与控制器连接,完成无刷直流电机的远程控制系统。文章从硬件和软件两方面描述了该系统的实现。     

控制信号叠加技术在无刷直流电机控制系统中的应用

在无刷直流电机(BLDC)控制系统中,其关键技术是设计线圈换相控制信号和PWM调压控制信号,这两种信号分别通过各自的驱动元件来控制B L D C的线圈电流方向和电机线圈两端的电压。"控制信号叠加技术"将两种信号叠加,通过一个功率驱动管来实现上述两个功能,这种技术取得了较好的实际应用效果。     

球型电机电流控制器设计

为了满足球型电机对电流双极性、多通道、大功率的实时同步控制,文章采用单片机、CPLD和Visual C＋＋串口编程技术来实现电流控制器的设计与开发。该控制器可以灵活、方便的同步输出各种控制算法所需的多路电流,满足对复杂控制对象的控制。文中介绍了电流控制器的主要实现电路、控制算法、调试方法,试验结果表明该电流控制器完全能够满足球型电机控制的需要。     

基于有限状态机的BLDC控制器的设计

介绍了基于有限状态机的三相无刷直流电机（BLDC）控制器的设计方法,在分析讨论BLDC控制器的工作原理的基础上得出了其换向真值表：分析了基于有限状态机实现PWM输出带死区控制的方法,并通过Verilog HDL语言实现了编程,且在Quartus II环境下进行了仿真实验,实验表明,基于有限状态机的BLDC控制器具有良好的性能。     

无人移动平台运动控制系统的设计

为实现地面无人移动平台的准确运动,设计其运动控制系统。选用履带式平台,分析并建立平台运动学模型,搭建H桥模块驱动平台电机,设计电流检测模块和速度检测模块,将电机运行状态反馈给控制器。设计数字PI控制器,形成速度一电流双闭环控制,结合差速反馈控制器,提高运动控制精度。实验结果表明了该运动控制系统的可靠性。     

ANFIS based multi-sector space vector PWM scheme for sensorless BLDC motor drive

This paper presents a design and development of Multi Sector Space Vector Pulse Width Modulation scheme (MS-SVPWM) for the speed control of brushless direct current (BLDC) motor drive. This control scheme is developed to enhance the performance of BLDC under wide range of speed and load variation. The hardware prototype is developed for 400 W, 30 V, 3000 rpm BLDC motor. The drive consists of uncontrolled rectifier unit for providing DC source to inverterunit. The proposed drive control has been done by implementing MS-SVPWM scheme using ANFIS control. The main function of ANFIS controller is to select the suitable sector for the drive and also predict the mismatching pulses by comparing conventional SVPWM and MS-SVPWM switching patterns. This new switching control technique helps to reduce switching losses of inverter and also improves an efficiency of BLDC system. This MS-SVPWM reduces the DC voltage ripple; Total Harmonic Distortion (THD) and torque ripple to the standard level. To verify and validate the practicality of the proposed system, the simulation is first performed using MATLAB Simulink tool. The hardware system is developed for the MS-SVPWM using DSPIC30F4011controller, the simulation and experimental results are presented.     

Improved torque performance in BLDC-motor-drive through Jaya optimization implemented on Xilinx platform

Robust dynamic speed response with less maintenance and efficient operation makes the Brushless Direct Current (BLDC) motors as an oblivious choice for many motoring applications which needs instantaneous speed control while developing high torque. This paper proposes Jaya optimization Algorithm on Xilinx platform for BLDC Motor and Fractional Order Proportional Integral Derivative controller to improve its efficiency through minimizing the ripples present in the Torque of the motor. The control strategy of torque controller works with the combinations of Xilinx and optimization algorithms. In this proposed controller, the strategy of control is achieved after deriving the BLDC motor's dynamic mode there after the electronic interaction with BLDC motor is enrooted with the Math lab/Simulink model while tactically utilizing Xilinx tools for all kind of co-simulation in the same model. Initially the dynamic model of a BLDC motor drive is derived and the control topology is designed with the help of the proposed controller. The controlling mechanism established in this paper is effective and efficient in minimizing the ripples present in the torque of the motor. The proposed controller is utilized for possible low-cost and high-performance industrial applications. The results are obtained and analyzed with existing methodologies and it shows that the proposed technique outperforms the existing models.     

基于DSP/BIOS的无刷直流电机控制系统的研制

无刷直流电机继承了直流电机运行效率高、调速性能好等优点,同时,克服了直流电机电刷带来的噪声、火花等缺点,在诸多领域得到广泛应用.为改善无刷直流电机控制系统的性能,本文研究模糊自适应PI控制器在无刷直流电机控制系统的应用.系统以TMS320F2812数字信号处理器为控制器设计了控制系统硬件,基于DSP/B10S嵌入式操作...     

Novel bacterial foraging-based ANFIS for speed control of matrix converter-fed industrial BLDC motors operated under low speed and high torque

In this paper, a novel adaptive neuro-fuzzy inference system (ANFIS)-based control technique optimized by Bacterial Foraging Optimization Algorithm for speed control of matrix converter (MC)-fed brushless direct current (BLDC) motor is presented. ANFIS is considered to be one of the most promising technologies for control of electrical drives fed by MC. Optimizing the training parameters of ANFIS, to improve its performance, is still being considered by several researchers recently. Parameters of the online ANFIS controller such as learning rate (η), forgetting factor (λ) and steepest descent momentum constant (α) are optimized by using the proposed algorithm. For the purpose of comparison, proportional integral derivative controller, fuzzy logic controller, PSO-ANFIS and BAT-ANFIS are considered. Set point tracking performances of the proposed system are carried out at various operating points for an industrial BLDC motor operating at a maximum rated speed of 380 rpm and torque of 6.4 N m. Time domain specifications such as rise time, settling time, peak time, steady-state error and peak overshoot in the presence and absence of load torque disturbances are presented. Time integral performance measures such as integral square error, integral absolute error, and integral time multiplied absolute error are analyzed for various operating conditions. Speed fluctuation in the output of BLDC motor is dependent on the source current harmonics of the inverter/converter. To illustrate this, total harmonic distortion (THD) analysis is carried out for the existing PWM inverter and the proposed MC, and it is proved that MC results in reduced THD, as compared to PWM inverter. Simulation results confirm that the proposed controller outperforms the other existing control techniques under various set speed and torque conditions. Statistical analysis is effectively carried out to prove the effectiveness of the proposed controller. Experimental analysis is performed to validate the performance of the proposed control scheme.

     

无刷直流电机模糊伺服控制器设计

针对直流无刷电机(BLDC)的数学模型具有较强非线性的特点,文章基于三调节因子模糊控制算法建立了其伺服控制器.与传统伺服控制器相比,为增加控制的平滑性,在模糊伺服控制器的设计中引入了第三个调节因子.将位置误差及其变化量分别作为位置控制器的输入,当位置误差处于不同的等级时采用不同的调节因子.为了验证所设计伺服控制器的有效性,分别对BLDC系统的位置跟踪、转速以及a相电流特性进行了仿真研究.此外,通过与位置环采用普通PI控制器时的位置跟踪特性进行比较,表明所设计的模糊伺服控制器性能较好,从而为无刷电机伺服控制系统的设计、开发与调试提供了一种新途径.     

飞艇隔振云台电机控制器设计与实现

飞艇隔振云台的主要执行机构是三相无刷直流电机,电机控制的精度决定了隔振云台系统的隔振效果。传统的云台电机控制器设计方法是根据控制规律通过反复试凑,得到PID控制器参数,这种方法费时费力,需要一定的调参经验。针对云台调参问题,对无刷直流电机进行了理论分析与模型建立,并提供一种与传统方法不同的利用特定工具和技术手段获取模型参数的方法,通过Matlab中rltool根轨迹零极点配置工具设计出合理的控制器,使得电机具有良好的动态响应和稳态响应。并且在此基础之上将控制器实际运用到云台平台上,实验取得良好的控制效果,为隔振云台中三相无刷直流电机控制器设计与调参方案提供参考。     

基于P-模糊自适应PID控制的无刷直流电动机调速系统

分析了无刷直流电动机的数学模型,提出了一种新型的P-模糊自适应PID控制方法,并在Matlab/Simulink环境中建立了基于P-模糊自适应PID控制的无刷直流电动机调速系统仿真模型。在该调速系统中,电流控制采用电流滞环,转速控制采用P控制和模糊自适应PID控制相结合的方式,实现了电流滞环和转速模糊控制的双闭环调速控制功能。仿真结果表明,该系统与基于常规PID控制的调速系统相比,系统响应时间缩短一半,且超调减小,具有较强的鲁棒性和自适应能力。     

傅里叶变换光谱仪动镜运动控制仿真

在傅里叶变换光谱仪中,动镜按一定规律进行往复运动。一般控制方案采用直线电机直接推动,但在体积小而高分辨率的傅里叶变换光谱仪中,直线电机要做得很长,不是很合适。采用无刷直流电机进行动镜控制;分析了无刷直流电机(BLDC)数学模型和动镜速度均匀性对光谱仪的影响,采用自适应在线遗传算法整定的PID控制和传统PID控制方法分别进行仿真控制,着重分析了带负载无刷直流电机的控制效果,并人工加入负载扰动。仿真结果验证了采用合适的控制策略控制无刷直流电机可达到傅里叶变换光谱仪对速度均匀性的要求。     

A study on the improvement of the cam phase control performance of an electric continuous variable valve timing system using a cycloid reducer and BLDC motor

This paper discusses the control performance improvement for an electric-continuous variable valve timing (E-CVVT) system using a brushless direct current (BLDC) motor and cycloid reducer. Each component of the E-CVVT system was implemented with mathematical analysis, and the response performance of the E-CVVT system was determined based on the mathematical model of the cam shaft motion, cam profile, cycloid reducer, BLDC motor, and controller. To control the intake valve timing of the engine, a cycloid speed reducer with a high reduction ratio capable of amplifying the output torque of a small BLDC motor was implemented. The change in valve speed due to the rotation of the cam shaft was represented by the curves described by the vertical movement of the valve using the cam profile. A control performance test apparatus was constructed and the torque of the intake cam shaft was measured and applied to the analysis so that the phase of the cam shaft could be changed using the E-CVVT system. To analyze the operating characteristics of the E-CVVT system, the BLDC motors were modeled using Simulink. The E-CVVT system controls the phase angle of the intake cam shaft. When the E-CVVT system sets the target phase angle, the motor controller generates the optimal motor speed command. The intake cam phase response speed depends on the setting of each PID parameter that changes the phase of the cam shaft. Through analysis and vehicle-based experiments, we confirmed the improvement of the E-CVVT system response performance according to the change of the PID parameter.