基于STM32的微型步进电机驱动控制器设计

设计了一种微型步进电机驱动控制器,通过上位机界面修改步进电机转速、旋转角度、细分系数。该设计以STM32F103T8U6作为主控制器,以A4988步进电机驱动设备,上位机串口界面作为人机接口界面,详细分析步进电机驱动设备的工作原理、各部分接口电路以及控制器设计方案。通过实物设计实现了步进电机转速、正反转任意角度和细分系数的控制,并通过精确计算步进脉冲个数实现了任意旋转角度的精确控制,该驱动控制器步进角度精度高达0.112 5度。     

来稿摘登

带微机接口的步进电机控制器在研制红细胞流变化过程中设计了一种8098单片机步进电机控制器，能手动连续调节电机转动角速度或角位移，并可通过RS－232串行接口及12位并行口与微机或其它单片机通信，实现自动控制。控制器由8098单片机和带光隔的脉冲平滑驱动电路两部分组成。适用于三相和四相步进电机，具有双三（四）拍、三相六拍（或四根八拍）驱动模式，并可通过选择开关将系统设置为调转速／调转角及手动／微机控制模式。8O98单片机在12MHZ主频下，利用其内部16位定时器和高速输出单元HSO，可产生分辨率达2P8的脉冲，作为步进电机的…     

基于单片机控制步进电机恒变速系统的设计

各种步进电机专用开发系统,适用于数控机床及某些特定条件及系统。本文通过单片机为开发平台,对步进电机进行控制,主要介绍步进电机控制器、驱动电路和LED显示电路的设计,其中在步进电机控制器的设计中,重点阐述脉冲产生电路以及对速度的控制,实现对步进电机速度精确控制的开发系统。     

三相反应式步进电机驱动器的设计

介绍了三相反应式步进电机驱动器的一种设计方法，将LM331接成电压/频率（V/F）转换方式，使输入控制电压转换成定宽度的脉冲信号，利用PMM8713将输入脉冲信号分配成一定相序的控制步进电机各相通断的脉冲信号，通过功率驱动电路来驱动三相反应式步进电机工作。     

八工位料盘的S7-300晶体管输出控制的步进驱动

步进电机是一种将电脉冲转化为角位移的执行机构,具有灵活的位置控制,并可得到与电脉冲信号频率成比例的回转速度等特点。使用可编程控制器的晶体管输出模块产生的电脉冲信号可以实现对步进电机的控制。     

步进电机原理及简易驱动电路的制作

<正>步进电机是机电一体化的关键部件之一,是一种高精度的执行元件,它能将脉冲信号转变成角位移,即给一个脉冲,步进电机就转过一个角度,因此控制精度高,广泛地应用于各种自动化控制系统和机器人领域中,目前步进电机的控制器主要是通过单片机及专用集成芯片构成的,这样成本高、结构复杂、开发周期长。广大的电子爱好者,尤其是一些初学者很难具备相应的条件,为此笔者设计并制作了一款成本低廉、性能稳定、控制简单、制作方便的步进电机控制器,供大家参考。     

基于FPGA的集成式步进电机驱动器的研究

提出了一种基于FPGA的新型集成式步进电机驱动系统实现方案,该方案采用模糊自组织PID调节方法实现对步进电机驱动系统的闭环控制,提高了系统的自适应能力.利用FPGA上嵌入的微处理器PicoBlaze将步进电机驱动系统的控制器和驱动器集成在一片FPGA芯片上,实现了可编程片上系统设计,极大地提高了控制性能.     

步进电机细分调速驱动方案研究

针对步进电机在轨道机车上的应用,设计了三种不同的步进电机细分调速控制驱动系统。即振荡器、环行分配器驱动方案,单片机斩波恒流驱动和单片机直流电压控制的驱动方案,以解决目前国产轨道机车速度控制的一些弊端,进而提高轨道机车的性能。根据目前步进电机在我国铁路轨道机车上的实际应用情况,分析总结出一套最合适的方案,即振荡器、环行分配器驱动方案。该方案经济合理,到目前为止,已在多台机车上运行,现场使用情况良好,并得到了用户的一致好评。     

基于CANopen的步进电机速度估计系统设计

针对步进电机开环驱动系统的无传感器速度估算难以在驱动器DSP中实现的问题,设计了一套基于CANopen通讯协议,将开环驱动系统电压、电流数据实时上传至上位机PC,并在上位机中利用软件实现扩展卡尔曼滤波观测器估算电机实时速度的方案。该方案的设计经过对CAN通讯效率的估算,限定了电机速度的估算范围。实验表明基于CANopen协议的方案能够在预估的速度范围内实现对电机速度的实时观测。     

基于VHDL步进电机控制器研制

本设计在对步进电机细分驱动原理进行分析研究的基础上,提出一种基于FPGA控制的步进电机细分驱动器。在该设计中利用硬件描述语言(VHDL)对步进电机控制器的各功能模块进行行为描述。在MAX+plusII下进行编译仿真,完成对步进电机控制器的设计。     

Design of low cost universal artificial neuron controller for chopper fed embedded DC drives

Artificial neural network (ANN) has become very popular in many control applications due to their high computation rate and ability to handle nonlinear functions. This paper proposes an artificial neuron controller for closed loop speed control of DC drive fed by DC chopper. Neuron control is used to reduce the steady state error, overshoot and settling time. The signal corresponding to the motor speed error and change in speed error are used as inputs to ANN Controller. The controller outputs the required change in duty cycle of pulse width modulated gating signal applied to DC chopper. Thus the voltage fed to the armature of the DC motor is adjusted for achieving the desired speed response. The training patterns for the neuron controller are obtained from the conventional PI controller and the effectiveness of the proposed neuron controller is studied using simulation studies.The designed controller was implemented in a low cost 8051-based embedded system and the results are documented. Two-loop control system was implemented with an inner ON/OFF current controller and an outer ANN speed controller.A conventional controller has heavy computation burden whereas a trained neural network requires less computation time. The artificial neural network has the ability to generalize and can interpolate in between the training data. This advantage of ANN makes the ANN controller universal. The ANN controller designed was tested on two different motors and found to work effectively on driving both of them.     

基于VHDL步进电机控制器研制

本设计在对步进电机细分驱动原理进行分析研究的基础上,提出一种基于FPGA控制的步进电机细分驱动器。在该设计中利用硬件描述语言（VHDL）对步进电机控制器的各功能模块进行行为描述。在MAX＋plusⅡ下进行编译仿真,完成对步进电机控制器的设计。     

A GLOBAL EXPONENTIAL OUTPUT‐FEEDBACK CONTROLLER FOR INDUCTION MOTORS

In this paper, we design an output‐feedback, rotor position/rotor flux controller for the full‐order, nonlinear dynamic model of an induction motor. The singularity free controller does not require measurement of rotor flux or rotor velocity and yields global exponential rotor position and rotor flux tracking. The proposed controller is termed output‐feedback due to the inexpensive/simplistic manner in which stator current measurements can be obtained (e.g., the most primitive method of measuring current can be achieved through simple voltage measurements across known resistive elements). Experimental results are included to verify the effectiveness of the proposed controller.     

Design and experiment of an electromagnetic levitation system for a micro mirror

In this paper, the design and characterization of a contactless electromagnetic levitation and electrostatic driven microsystem is presented, which has applications for example for large scale angle rotation micro mirrors. The proposed design can levitate a fabricated aluminum micro rotor which can incorporate a mirror and control it to rotate around the vertical axis within the range of ± 180°, which enlarges the scanning angle dramatically compared with conventional torsion micro mirrors. The rotation angle of the micro rotor is detected by the change of capacitance and controlled by the electrostatic force produced by variable capacitors. The levitation of the micro rotor is realized by utilizing electromagnetic inductions. The rotation is achieved through electrostatic forces generated by a digital controller. The hybrid system design for a micro rotor, combining magnetic and electrostatic forces is introduced. The digital control strategy is based on a PID controller with bias voltage. The detection interface circuit, which is based on frequency multiplexing, is also presented in this paper. It has been experimentally shown that the proposed design can levitate a 1.65 mm radius and 8 µm thickness aluminum micro rotor to 100 µm height with 20 MHz frequency and 0.5A p-p input current. Square and slope wave input experiments were carried out. The experimental results show that the control principal is in good agreement with the simulation models and this applies as well to the time-response performance and stability.

     

风动涡轮步进电机细分驱动微机控制调速系统

介绍了风动涡轮步进电机细分驱动微机控制调速系统应用场合、背景及其有关技术;详细介绍了系统组成原理及技术关键;重点描述了步进电机细分驱动和微机控制的涡轮调速器;从理论上阐明步进电机细分驱动是提高步进电机分辨率和消除低频振荡的有效办法,作者提出的定频脉宽调制细分驱动很好解决了效率低的技术问题。设计的８０Ｃ１９６为核心的微机控制调速器很好解决了各种控制技术问题。整个系统结构简单。通过改变软件设计,可灵活地实现各种控制功能。试验结果表明这对系统性能有很大提高。     

Output feedback transient stabilization and voltage regulation of synchronous generators

In this brief note, we consider the transient stabilization and voltage regulation problem for a synchronous generator connected to an infinite bus. We show how a much simpler output feedback controller, compared with previous results, can be obtained if a different stability analysis is carried out: a suitable change of coordinates is performed so that advantageous triangularity properties of the regulation error dynamics are highlighted. A novel first order estimator for the uncertain mechanical input power is designed: it is the only adaptation scheme used by the controller. The innovative crucial step in the presented control design relies on relaxing the constraint imposed by the typically (previously) adopted back‐stepping techniques and constituted by the required availability of the regulation/tracking error variables: the converging estimate of the mechanical input power directly becomes the reference value for the electrical power and allows for the straightforward computation of the uncertain power angle constant value guaranteeing voltage regulation at steady state. Copyright © 2011 John Wiley & Sons, Ltd.     

数字式粘度计中步进电机微步细分的设计与实现

高精度数字式粘度计对转子的性能提出了较高的要求，要求转子在多种转速下稳定、精确地旋转。本文提出了恒转矩旋转磁场细分方法和智能多级细分方法，解决粘度计超低速稳定旋转及多档转速切换问题，介绍了数字式粘度计中步进电机细分驱动电路的硬件结构，控制软件的设计及实现。     

Intelligent motion control for linear piezoelectric ceramic motor drive

Since the dynamic characteristics of a linear piezoelectric ceramic motor (LPCM) are highly nonlinear and time varying, it is difficult to design a suitable motor drive and position controller that realizes accurate position control at all time. This study investigates a double-inductance double-capacitance (LLCC) resonant driving circuit and a sliding-mode fuzzy-neural-network control (SMFNNC) system for the motion control of an LPCM. First, the motor structure and LLCC driving circuit of an LPCM are introduced. The LLCC resonant inverter is designed to operate at an optimal switching frequency such that the output voltage will not be influenced by the variation of quality factor. Moreover, a SMFNNC system is designed to achieve favorable tracking performance without precise dynamic models being controlled. All adaptive learning algorithms in the SMFNNC system are derived in the sense of Lyapunov stability analysis, so that system-tracking stability can be guaranteed in the closed-loop system. The effectiveness of the proposed driving circuit and control system is verified by experimental results.