软起动器在立式剪板机中的应用

本文提出一种利用ABB软起动器来实现立式剪板机主电机软起动的控制方案，分析了软起动器应用的必要性，阐述了软起动器的选型及其外围控制情况，并简要介绍了软起动器的开通调试。     

软起动器在转炉地下料仓除尘风机中的应用

软起动器是一种集电机软起动、软停车、轻载节能和多种保护功能于一体的新颖电机控制装置。文章扼要介绍了除尘风机软起动器的选用原则，最后对软起动器在转炉除尘风机中的控制方案进行了分析。     

基于九点控制器的电机软起动器设计

提出了一种以80C196KC单片机为核心．基于九点控制器的电机软起动控制器的设计方案，阐述了软起动器的工作原理、回路结构和软件程序结构。该软起动器可根据采样信号和键盘的设定值来计算电压偏差和偏差变化率，并由九点控制算法控制触发角的大小。从而控制电机电压的缓慢上升。     

单电机驱动的带式输送机的传动控制

本文阐述了带式输送机传动的特点，分析了采用各种不同电机软起动控制方法-电压斜坡控制。电流闭环控制，转矩闭环控制和速度 闭环控制起动带式输送机的工作及皮带张力的变化。文章指出单电机驱动的带式输送机应该选用具有转矩闭环控制的固态软起动器或者转速反馈控制（例如美国BENSHAW的RSM系列）的固态软起动器，这样才能使带式输送机平滑起动，皮带中不会产生过大的张力，而采用转速反馈控制的固态软起动器是最佳方案。     

中压离散变频软起动器的设计

为了克服传统的降压软起动只能应用在空载或轻载场合的弊端，本文采用离散变频的控制方法，设计了一台中压感应电机软起动控制器。以DSP2407A为核心的电机软起动控制器，处理信息的速度快，能及时地跟随电机负载的变化，使电机的起动平稳可靠。同时由于该控制器不改变传统软起动器的主回路结构，可保留传统软起动器应有的功能，如电压突跳起动、限流起动、软停、故障检测等。经实验调试，该控制器能在高于额定负载的条件下正常起动电机，从而解决了重载不能起动的问题。     

基于单片机的电机软起动控制器的设计

软起动器是电机软起动控制的核心,电机软起动时,通过软起动控制器控制功率变换单元,进而改变电机与可变电抗器之间的阻抗比例关系,实现调压,从而达到软起动的卧的。文中采用单片机设计电机软起动控制器,实现了智能控制,取得了较好的起动效果。经过试验表明,采用该软起动控制器时可以有效地减小电动机的起动电流,从而达到保护电机和设备的目的,表明该软起动器在电机起动过程中具有良好的起动效果。     

多电机驱动的带式输送机的传动控制

本文阐述了多电机驱动带式输送机传动的特点，分析了采用变频器控制多电机同步传动的方案；以及结合美国最大的North Antelope 煤矿一个15000t的储煤仓带式输送机软起动控制系统分析了BENSHAW公司采用MVRSM型带转速反馈控制的高压固态软起动器的解决方案，文章指出这种固态软起动器方案既能做到各电机协调工作不超载，使带式输送机平滑起动，皮带中不会产生过大的张力，又远比变频器方案便宜，实是带式输送机传动的一种性价比最佳的解决方案。     

分级交-交变频高转矩软起动器的原理和实现

本文介绍了一种采用分级交-交变频方法的交流电机软起动器的原理和实现，它能使电机以高起动转矩和小的起动电流平滑地起动。并将实际效果与传统的电子式软起动器进行比较，证明采用分级交-交变频方法的软起动器，不仅可以减小起动电流，提高起动转矩，还可以实现真正的软停车及使电机短时工作在低速运行和反转制动状态。     

高转矩软起动器的研究

本文研究了三相感应电动机高转矩软起动的控制方法。在理论分析与仿真的基础上，完成了以intel 16位单片机为微处理器的高转矩软起动器的实验研究、实践表明，基于高转矩的软起动器能使电机以高转矩和较小起动电流平滑起动。负载试验结果与传真结果基本吻合，证明了这种高传矩软起动理论的正确性和有效性。     

步进电机控制策略研究

步进电机控制策略研究的主要目的是为了提高步进电机系统精度和可靠性.随着对步进电机控制系统的精度要求越来越高,早期的控制策略已经不能满足当前系统的需求.综述了步进电机系统中常用的PID控制、自适应控制、矢量控制、智能控制等控制策略,分析了各种控制策略的优缺点及其在步进电机系统中的应用,并对步进电机控制策略的发展趋势进行了展望.     

Direct torque and frequency control of double-inverter-fed slip-ring induction motor drive

A novel sensorless scheme for direct torque and frequency control of a double-inverter-fed slip-ring induction motor is presented. The analysis of a double-inverter-fed induction motor is given to derive the proposed controller. Various frequency profiles are analyzed for a direct frequency controller. A novel frequency profile is suggested to make the sensorless drive operation reliable and machine parameter independent at any rotor speed. Simulation and experimental results are presented from a 50-hp drive, demonstrating that the drive can deliver full torque from 0 to 2-p.u. speed in either direction. Thus, double the rated power can be extracted from the motor without overloading it.     

LQG/LTR control of an AC induction servo drive

A new design method based on the linear-quadratic-Gaussian with loop-transfer-recovery (LQG/LTR) theory has been developed for the design of high performance AC induction servomotor drives using microcomputer-based digital control. The principle of field orientation is employed to achieve the current decoupling control of an induction motor. An equivalent model representing the dynamics of the decoupled induction motor has been developed. Based on the developed model with specified parameter uncertainties and given performance specifications, a frequency domain loop-gain-shaping method based on the LQG/LTR theory is proposed for the design of the servo loop controller. A microcomputer-based induction servomotor drive has been constructed to verify the proposed control scheme. Simulation and experimental results are given to illustrate the effectiveness of the proposed design method     

Design and implementation of a high-performance field-orientedinduction motor drive

The design and implementation of a high-performance controller for a field-oriented induction motor drive is presented. Dynamic modeling based on the stochastic technique is performed. Based on the estimated drive model, a two-degree-of-freedom controller is proposed so good dynamic responses in both the speed tracking and regulation characteristics can be achieved. The parameters of the controller are found using a proposed systematic design procedure according to the prescribed specifications. Having designed and tested the performance of the controller by simulation, the hardware implementation is successfully made, and some experimental results are given to demonstrate the effectiveness of the proposed controller     

A simple direct-torque neuro-fuzzy control of PWM-inverter-fedinduction motor drive

In this paper, the concept and implementation of a new simple direct-torque neuro-fuzzy control (DTNFC) scheme for pulsewidth-modulation-inverter-fed induction motor drive are presented. An adaptive neuro-fuzzy inference system is applied to achieve high-performance decoupled flux and torque control. The theoretical principle and tuning procedure of this method are discussed. A 3 kW induction motor experimental system with digital signal processor TMS 320C31-based controller has been built to verify this approach. The simulation and laboratory experimental results, which illustrate the performance of the proposed scheme, are presented. Also, nomograms for controller design are given. It has been shown that the simple DTNFC is characterized by very fast torque and flux response, very-low-speed operation, and simple tuning capability     

Adaptive Sliding-Mode Neuro-Fuzzy Control of the Two-Mass Induction Motor Drive Without Mechanical Sensors

In this paper, the concept of a model reference adaptive control of a sensorless induction motor (IM) drive with elastic joint is proposed. An adaptive speed controller uses fuzzy neural network equipped with an additional option for online tuning of its chosen parameters. A sliding-mode neuro-fuzzy controller is used as the speed controller, whose connective weights are trained online according to the error between the estimated motor speed and the speed given by the reference model. The speed of the vector-controlled IM is estimated using the $hbox{MRAS}^{rm CC}$ rotor speed and a flux estimator. Such a control structure is proposed to damp torsional vibrations in a two-mass system in an effective way. It is shown that torsional oscillations can be successfully suppressed in the proposed control structure, using only one basic feedback from the motor speed given by the proposed speed estimator. Simulation results are verified by experimental tests over a wide range of motor speed and drive parameter changes.      

Design and implementation of an adaptive controller for current-fedinduction motor

A model reference adaptive speed controller for a current-fed induction motor drive is proposed. The controller uses a proportional-integral (PI) adaptation to satisfy the hyperstability condition for load and machine parameter changes of the drive. Only the available information on the states and output of the reference model as well as the plant output are required. No explicit parameter identification is needed. The controller can be designed simply by using a reduced reference model without particularly degrading the performance, so it is easy to implement practically. The hardware implementation is detailed, and some experimental results are given to demonstrate its effectiveness     

Lie compensator design for exact linearization of inverter-fed induction machines

Differential-geometry methods enable the design of a Lie compensator that exactly linearizes the total system including the nonlinearities of an induction motor. The aim of this work is to prove under which circumstances the five equations of the induction motor are exactly linearizable and to figure out the linearization unit details as a basis for a linear controller. The use of computer-algebraic procedures facilitates the evaluation of the complex calculations. Simulations and the comparison with measurements of practical plants show that the linearization is successful and that the over-all system including induction motor, linearization circuit and controller obeys optimal tracking performance.     

基于自适应遗传算法的模糊控制器应用研究

传统模糊控制器的设计主要依赖专家经验,存在较强的主观性和随意性,使得控制精度不高。为此,利用自适应遗传算法,优化设计了模糊控制器,并将其应用到三相异步电机的转差频率矢量调速系统中。仿真结果表明,控制效果好于PI控制。     

Design and analysis of a plug-in robust compensator: an application to indirect-field-oriented-control induction machine drives

It is well known that the system performance for an indirect-field-oriented-control induction motor drive degrades under the variation of rotor resistance and in the presence of external load torque. In this paper, a plug-in robust compensator for speed and position control enhancement of an indirect-field-oriented-control induction machine drive is developed. In the case where a controller for the induction machine already exists or is in operation with satisfactory nominal tracking performance, this plug-in compensator, designed using the H/sub /spl infin// loop-shaping techniques, can be plugged into the existing controller without affecting the already satisfactory nominal tracking performance of the existing closed-loop system but with the capability to improve the system performance under plant parameter variations and in the presence of external disturbances. Simulation and experimental results are given to validate the proposed plug-in robust compensator.     

Development of new training algorithms for neuro-wavelet systems on the robust control of induction servo motor drive

A robust wavelet neural network control (RWNNC) system is proposed to control the rotor position of an induction servo motor drive in this paper. In the proposed RWNNC system, a wavelet neural network controller is the main tracking controller that is used to mimic a computed torque control law, and a robust controller is designed to recover the residual approximation for ensuring the stable control performance. Moreover, to relax the requirement for a known bound on lumped uncertainty, which comprises a minimum approximation error, optimal network parameters and higher order terms in a Taylor series expansion of the wavelet functions, an RWNNC system with adaptive bound estimation was investigated for the control of an induction servo motor drive. In this control system, a simple adaptive algorithm was utilized to estimate the bound on lumped uncertainty. In addition, numerical simulation and experimental results due to periodic commands show that the dynamic behaviors of the proposed control systems are robust with regard to parameter variations and external load disturbance.