直线电机检测系统的设计

本文利用增量式直线光栅尺位移传感器、方波四倍频及鉴向电路、热电偶传感器、压力传感器、研华ADAM4000系列工控I／O模块、PCI-1780多通道计数卡以及力控组态软件构建了直线电机的检测系统。该检测系统能够准确检测出直线电机的位移、拉力和推力及其绕组的多点温度值。文中对该检测系统的方案及其实现过程进行了详细的论述。     

基于STM32的高精度柔性多轴运动控制系统设计

针对多台高精度直线电机组成的柔性夹持系统缺乏多轴控制器的问题，文中提出一种可以同时控制多台直线电机实现高精度定位、柔性夹持易碎物品、具备上位机界面和总线通信控制功能的多轴运动控制系统。该装置由主控制器、上位机软件、直线电机和.伺服电机、步进电机以及运动结构部件组成。主控制器由STM32F103VET6芯片与外围器件构成。光栅尺传感器产生位置信号分辨率达到05μm实现高精度控制。主控输出PWM控制I信号由驱动器放大并驱动直线电机运行，电流传感器监测负载变化情况结合控制算法实现柔性控制。主控程序逻辑包括多轴运动控制、PD算法控制、电流监测、RS232上位机通信和CAN总线多联机通信模块。通过CAN总线进行多联机协同运动控制，上位机软件实时监测和控制全部参数。该系统可以有效解决多台高精度直线电机协同控制的问题，本文阐述了该系统的框架及实现原理。     

直线电机技术动向

一、伺服化目前，LIM（感应式直线电机）与LPM（脉冲式直线电机）在工业用直线电机中占主导地位，但LIM的控制性能及效率不理想，而LPM在振动及失速方面还不尽人意，故而难以用于高速、精密领域。为此，伺服化直线电机应运而生。其分类如图1所示。永磁型饲取直线电机的推力来源于水入磁铁磁束与电机子电流间的罗楞兹定律。这种电机被称为交流伺服直线电机（LASM）。由I。八SM、控制装计及直线传感器构成的LASM系统如图2所示，其控制装置由操作单元、驱动单元、定位单元及检测单元等构成。二、小型化由山田等开发的作为人造心脏驱…     

DSP在短行程直线电机精密位置控制中的应用研究

阐述了一种新研制的短行程永磁直流直线电机的工作原理,提出了基于DSP(TMS320LF2407A)的短行程直流直线电机数、模混合伺服控制系统方案,重点对直线电机的位置检测及控制技术进行了研究,给出了DSP控制器的位置检测接口电路、16位双极性数模转换器(DAC7641)的扩展电路和控制软件的实现方法。短行程直线电机的有效工作行程范围为±5mm,带有分辨率为1μm直线位移检测装置(光栅尺)。实验结果表明,控制系统设计合理,直线电机可实现精密定位,定位精度可控制在5μm以内。     

基于定时中断编程的直线电机模型参数辨识研究

研究了基于定时中断编程的直线电机模型参数辨识技术。推导了直线电机的数学模型,建立了一个永磁同步直线电机驱动的单自由度实验台的硬件及软件系统。采用定时中断编程技术,在DOS下运行C语言程序,采集工作台位移数据,经数据处理,得到直线电机力常数为13．1N／A,与理论值较好吻合。     

本期摘要

纳米颗粒增强尿酸酶生物传感器的研究设想，空间应用的图像传感器系统及其应用，三轴磁罗盘的高精度误差补偿算法研究，用于波长编码光纤直线位移传感器的不等距光栅栅距分布规律研究，基于ADXL50的振动加速度一频率检测装置设计     

基于LabVIEW的超声电机测试系统

针对现有的超声电机测试系统功能单一、电路复杂、价格昂贵等不足,基于LabVIEW虚拟仪器技术,开发出一种多功能的超声电机的测试系统.系统由计算机和超声电机驱动器实现对超声电机的控制,由激光位移传感器和高速的数据采集卡采集超声电机的位移信号,并通过微分后得到其速度值.利用该系统对直线超声电机的速度特性进行了测试,实验结果...     

双作用三直线电机往复泵试验装置研究

针对传统往复泵结构复杂、效率低、输出流量和压力波动大、维修不方便等缺点,提出并研制了一种双作用三直线电机往复泵试验装置。该装置以计算机为核心,具体由通用变频器、三相圆筒型感应直线电机、PCI数据采集卡和传感器等设备组成。通过系统软件编程,实现了单直线电机驱动往复泵试验和三直线电机协调控制往复泵试验。试验结果验证了理论研究的正确性。     

传感器在汽车双燃料电控系统中的应用

介绍了一种步进电机驱动的位移检测系统的设计思想,阐述了它的工作原理、机械结构,提出了用于位移检测的差动电感式位移传感器具体的设计方案。经实验分析验证:该位移传感器在工作范围±2mm内线性度可达到0. 5%。该系统成本低,工作性能可靠。     

喷墨绘图机喷头小车的驱动设计

通过对研发一台宽幅面彩色喷墨绘图机需求的分析，提出了其喷头小车的驱动设计方案，该方案是一个由LMD18245芯片控制的直流直线电机，直线型容栅位移传感器以及数字PID控制算法构成闭歪控制系统，经过详细设计和仔细调试，实践证明该方案完全成立，小车驱动的性能指标完全达到要求。     

双速电机智能测试系统的研究与开发

结合山东德州某电机厂双速电机出厂试验系统,开发了基于PLC和上位机的测试系统,本文详细介绍了该系统的设计开发方案和上位机监控程序。该系统通过试运行,表明其性能满足厂方的需求。     

Adaptive CMAC-based supervisory control for uncertain nonlinear systems.

An adaptive cerebellar-model-articulation-controller (CMAC)-based supervisory control system is developed for uncertain nonlinear systems. This adaptive CMAC-based supervisory control system consists of an adaptive CMAC and a supervisory controller. In the adaptive CMAC, a CMAC is used to mimic an ideal control law and a compensated controller is designed to recover the residual of the approximation error. The supervisory controller is appended to the adaptive CMAC to force the system states within a predefined constraint set. In this design, if the adaptive CMAC can maintain the system states within the constraint set, the supervisory controller will be idle. Otherwise, the supervisory controller starts working to pull the states back to the constraint set. In addition, the adaptive laws of the control system are derived in the sense of Lyapunov function, so that the stability of the system can be guaranteed. Furthermore, to relax the requirement of approximation error bound, an estimation law is derived to estimate the error bound. Finally, the proposed control system is applied to control a robotic manipulator, a chaotic circuit and a linear piezoelectric ceramic motor (LPCM). Simulation and experimental results demonstrate the effectiveness of the proposed control scheme for uncertain nonlinear systems.     

Hybrid supervisory control using recurrent fuzzy neural network fortracking periodic inputs

A hybrid supervisory control system using a recurrent fuzzy neural network (RFNN) is proposed to control the mover of a permanent magnet linear synchronous motor (PMLSM) servo drive for the tracking of periodic reference inputs. First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMLSM. Then, a hybrid supervisory control system, which combines a supervisory control system and an intelligent control system, is proposed to control the mover of the PMLSM for periodic motion. The supervisory control law is designed based on the uncertainty bounds of the controlled system to stabilize the system states around a predefined bound region. Since the supervisory control law will induce excessive and chattering control effort, the intelligent control system is introduced to smooth and reduce the control effort when the system states are inside the predefined bound region. In the intelligent control system, the RFNN control is the main tracking controller which is used to mimic a idea control law and a compensated control is proposed to compensate the difference between the idea control law and the RFNN control. The RFNN has the merits of fuzzy inference, dynamic mapping and fast convergence speed, In addition, an online parameter training methodology, which is derived using the Lyapunov stability theorem and the gradient descent method, is proposed to increase the learning capability of the RFNN. The proposed hybrid supervisory control system using RFNN can track various periodic reference inputs effectively with robust control performance.     

初轧机工作状态监测系统

初轧机工作状态监测系统用于主电机电流、电压和压下量的在线监测。本文介绍了系统的软硬件配置，数学模型的建立以及应用中存在的问题和解决方法。     

Supervisory control with state-dependent dwell-time logic and constraints

The paper deals with the supervisory control of a nonlinear uncertain system in which the switching is directed by the recently introduced state-dependent dwell-time switching logic. The proposed supervisory control architecture is shown to regulate to zero the state of the system without requiring the switching to stop in finite time. A significant class of systems to which the control architecture can be applied is the class of linear systems with input saturation.     

A supervisory fuzzy neural network control system for trackingperiodic inputs

A supervisory fuzzy neural network (FNN) control system is designed to track periodic reference inputs in this study. The control system is composed of a permanent magnet (PM) synchronous servo motor drive with a supervisory FNN position controller. The supervisory FNN controller comprises a supervisory controller, which is designed to stabilize the system states around a defined bound region and an FNN sliding-mode controller, which combines the advantages of the sliding-mode control with robust characteristics and the FNN with online learning ability. The theoretical and stability analyses of the supervisory FNN controller are discussed in detail. Simulation and experimental results show that the proposed control system is robust with regard to plant parameter variations and external load disturbance. Moreover, the advantages of the proposed control system are indicated in comparison with the sliding-mode control system     

SCADA system of DC motor with implementation of fuzzy logic controller on neural network

In this paper, a supervisory control and data acquisition system of DC motor with implementation of fuzzy logic controller (FLC) on neural network (NN) is presented. We successfully avoid complex data processing of fuzzy logic in the proposed scheme. After designed a FLC for controlling the motor speed, a NN is trained to learn the input–output relationship of FLC. The tasks of sampling and acquiring the input signals, process of the input data, and output of the voltage are commanded by using LabVIEW. Finally, the experimental results are provided to confirm the performance and effectiveness of the proposed control approach.     

Switching Supervisory Control Using Calibrated Forecasts

In this paper, we approach supervisory control as an online decision problem. In particular, we introduce ldquocalibrated forecastsrdquo as a mechanism for controller selection in supervisory control. The forecasted quantity is a candidate controller's performance level, or reward, over finite implementation horizon. Controller selection is based on using the controller with the maximum calibrated forecast of the reward. The proposed supervisor does not perform a pre-routed search of candidate controllers and does not require the presence of exogenous inputs for excitation or identification. Assuming the existence of a stabilizing controller within the set of candidate controllers, we show that under the proposed supervisory controller, the output of the system remains bounded for any bounded disturbance, even if the disturbance is chosen in an adversarial manner. The use of calibrated forecasts enables one to establish overall performance guarantees for the supervisory scheme even though non-stabilizing controllers may be persistently selected by the supervisor because of the effects of initial conditions, exogenous disturbances, or random selection. The main results are obtained for a general class of system dynamics and specialized to linear systems.     

直线步进电机在压路机发动机转速控制系统中的应用

本文介绍了采用直线步进电机作为驱动装置的压路机发动机转速闭环控制系统。直线步进电机具有结构简单、免维护、可靠性高、能实现位移的精确控制等特点，将其应用于电控油门装置上是一种先进的技术方案。文中详细叙述了该控制系统的组成及原理和控制程序的结构及功能。应用实践表明，采用上述控制装置取得了良好的效果。