An MRAS method for sensorless control of induction motor over a wide speed range

This paper addresses the problem of wide speed range sensorless control of induction motor.The proposed method is based on model reference adaptive system (MRAS),in which the current model serves as the adjustable model,and a novel hybrid model integrating the modified voltage model (MVM) and high-frequency signal injection method (HFSIM) are established to serve as the reference model.The HFSIM works together with MVM to improve the performance of the rotor speed and rotor flux position estimation at low speed,whereas at high speed,the MVM acts alone.In addition,a rotor resistance online estimation scheme is proposed to update the rotor resistance contained in the adjustable model and to ensure the estimation accuracy further.Experimental results show that the proposed MRAS method is very effective from low to high speed range,including zero speed.     

Transient model of induction machine using rotating magnetic field approach

Most simulation models of electric machines use the coupled circuit approach, where the machine is considered as an electric circuit element with time-varying inductances (abc model) or with constant inductances (dq0 model). On the other hand, the rotating magnetic field approach, which considers the electric machine as two groups of windings producing rotating magnetic fields and can give insight into internal phenomena of the machines, has not yet received much attention in electric machines modeling, especially for machine transient analysis. Based on the rotating magnetic field approach, this paper presents a transient model of the induction machine including main flux saturation effect. Based on the direct computation of the magnetizing fluxes of all machine windings, the model represents instantaneous main flux saturation by simply introducing a main flux saturation factor. No iteration process is involved to incorporate the saturation effects. The model combines the advantages of the dq0 and abc models advantages, such as rapid computation time and nonsymmetrical conditions simulation, respectively. The simulation results and the experimental tests show advantages and verification of the model.     

Induction motor fault detection and diagnosis using a current state space pattern recognition

In the last few decades the continuous monitoring of complex dynamic systems has become an increasingly important issue across diverse engineering areas. This paper presents a pattern recognition based system that uses visual-based efficient invariants features for continuous monitoring of induction motors. The procedures presented here are based on the image identification of the 3-D current state space patterns that allow the identification of distinct fault types and, furthermore, their corresponding severity. This automatic fault detection system deals with time-variant electric currents and is based on the identification of three-phase stator currents specified patterns. Several simulation and experimental results are also presented in order to verify the effectiveness of the proposed methodology.     

基于微机的200Wm核供热堆仿真系统PCNHR1.0的研究

为了使更多的技术人员形象地了解低温堆供热站的原理 ,在国际原子能机构的支持下 ,清华大学核研院研究开发了基于微机的 2 0 0Mw低温核供热堆仿真系统。它采用两回路、一维漂移流热工水力学模型 ,点中子堆物理以及控制系统模型。能对核供热堆的稳态运行、瞬态过程和事故进行仿真 ,仿真精度接近系统分析结果。在奔腾或以上的微机上 ,WIN DOWS95 /98/NT操作系统下 ,能对过程进行实时仿真 ,而且大多数过程能达到 10倍以上超实时。软件采用VisualC+ + 和FORTRAN混合语言编程 ,运用先进的多线程编程模型、进程通讯和进程控制技术实现了耦合计算和同步控制。     

Vector control for loss minimization of induction motor using GA–PSO

This paper deals with the GA–PSO (genetic algorithm–particle swarm optimization) based vector control for loss minimization operation of induction motor. It is estimated that more than around 50% of the world electric energy generated is consumed by electric machines such as induction motor, dc motor. So, improving efficiency in electric drives is important and control strategy for minimum energy loss is needed as one of optimal operation strategies. The vector control of induction motor has been widely used to operate in a wide speed range by using flux weakening at rated speed. However, it is still necessary to advance because of coupling is behavior between fluxes in motor. In this paper, vector control approach is suggested for an optimal operation of induction motor using variable acceleration and GA–PSO tuning method through simulation. We can obtain satisfactory results for energy saving control.     

Using an induction prover for verifying arithmetic circuits

We show that existing theorem proving technology can be used effectively for mechanically verifying a family of arithmetic circuits. A theorem prover implementing: (i) a decision procedure for quantifier-free Presburger arithmetic with uninterpreted function symbols; (ii) conditional rewriting; and (iii) heuristics for carefully selecting induction schemes from terminating recursive function definitions; and (iv) well integrated with backtracking, can automatically verify number-theoretic properties of parameterized and generic adders, multipliers and division circuits. This is illustrated using our theorem prover Rewrite Rule Laboratory (RRL). To our knowledge, this is the first such demonstration of the capabilities of a theorem prover mechanizing induction. The above features of RRL are briefly discussed using illustrations from the verification of adder, multiplier and division circuits. Extensions to the prover likely to make it even more effective for hardware verification are discussed. Furthermore, it is believed that these results are scalable, and the proposed approach is likely to be effective for other arithmetic circuits as well.     

相变诱发塑性钢的研究现状与发展

在现代汽车制造业对汽车轻量化提出要求的趋势下,TRIP钢因其同时具有高强度和高的断后伸长率,以及其优良的高速力学性能而受到青睐。本文简要介绍了相变诱发塑性钢(TRIP钢)的发展现状与研究进展;详细介绍了TRIP钢中各种合金元素的作用,显微组织与性能的关系以及热处理工艺;最后对TRIP钢的发展趋势做了简要阐述。     

Induction motors bearing fault detection using pattern recognition techniques

This paper proposes a systematic procedure based on a pattern recognition technique for fault diagnosis of induction motors bearings through the artificial neural networks (ANNs). In this method, the use of time domain features as a proper alternative to frequency features is proposed to improve diagnosis ability. The features are obtained from direct processing of the signal segments using very simple calculation. Three different cases including, healthy, inner race defect and outer race defect are investigated using the proposed algorithm. The ANNs are trained with a subset of the experimental data for known machine conditions. Once the network is trained, efficiency of the proposed method is evaluated using the remaining set of data. The obtained results indicate that using time domain features can be effective in accurate diagnosis of various motor bearing faults with high precision and low computational burden.     

公共建筑采暖节能温度智能控制系统的设计

以冬季人们的供暖需求为背景,以节能为目的,设计了以微处理器为核心的温度智能控制系统。该系统利用嵌入式系统具有的安装方便、操作便利、可靠性高的特点,使楼宇内温度能够得到实时监督和控制。与传统方法相比,系统更加经济化和智能化。试验表明,系统节能效果明显,达到了预期的设计目标。     

感应电动机无速度传感器矢量控制综述

矢量控制在感应电动机中的应用最多,该文对感应电动机无速度传感器矢量控制进行了综述：介绍了几种常见的速度估计方法,指出了各自的优缺点和适用范围,并就今后的研究发展方向提出了看法。