506 research outputs found

    Indirect angle estimation in switched reluctance motor drives using fuzzy logic based motor model

    Get PDF
    Copyright © 2000 IEEEIn this paper, a novel rotor position estimation scheme is described that was developed to overcome the drawbacks of the previous sensorless techniques, which were proposed for switched reluctance (SR) motor drives. It is based on fuzzy-logic, and does not require complex mathematical models or large look up tables. The scheme was implemented by using a digital signal processor. The real-time experimental results given in this paper show that the position estimation method proposed can provide accurate and continual position data over a wide range of speeds (zero/low/high), and can also function accurately at different operating conditions (chopping/single pulse mode and steady state/transient operation).Nesimi Ertugrul and Adrian D. Cheo

    A novel sliding-mode observer for indirect position sensing of switched reluctance motor drives

    Get PDF
    A switched reluctance motor (SRM) drive generally requires a rotor position sensor for commutation and current control. However, the use of this position sensor increases both cost and size of the motor drive and causes limitations for industrial applications. In this paper, a novel indirect position sensing technique, namely, the sliding-mode observer, is proposed for SRM drives. The corresponding design approach and operating performance are provided to illustrate the fast convergence and high robustness of the observer against disturbances and variations.published_or_final_versio

    Sensorless start-up of traction switched reluctance motors of the railway rolling stock

    Get PDF
    The problem of SRM sensorless start is described. The new algorithm of traction switched reluctance motor sensorless start-up in a course is adduced. Results of physical modeling of the described method are given

    A novel position and velocity observer for robust control ofswitched reluctance motors

    Get PDF
    A new position and velocity sensorless control algorithm for the switched reluctance motor (SRM) drive is presented, which employs a sliding mode observer technique to estimate the motor speed and rotor position. This paper describes the construction of the observer, proposes the detailed method for designing the feedback gains of the observer and provides a quantitative robustness analysis against disturbances. The proposed sliding observer scheme is applied to a 4 kW SRM drive and the system performance is verified by computer simulation and experimental results.published_or_final_versio

    Sensorless control scheme for continuously estimating rotor position and speed of switched reluctance motor drives based on two-dimensional least squares

    Get PDF
    Author name used in this publication: X. D. XueAuthor name used in this publication: K. W. E. ChengAuthor name used in this publication: S. L. HoRefereed conference paper2004-2005 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

    Fuzzy Logic Control of Switched Reluctance Motor Drives

    Get PDF
    In this chapter, the electromechanical behavior of switched reluctance motor (SRM) is first modeled by analyzing the related nonlinear differential equations. In the model, the estimation of rotor speed is also considered. After modeling, the effects of torque ripple, radial force, and acoustic noise are investigated. As we know, torque ripple and acoustic noise are two of the main disadvantages of a switched reluctance motor. Thus, a fuzzy logic current compensator is proposed both for reducing the peak of radial force and for decreasing acoustic noise effects. In the parts that torque reduces, the fuzzy logic current compensator injects additional current for each phase current to overcome the torque ripple. Also, the fuzzy logic current compensator reduces speed estimation error. The speed estimation is carried out using a hybrid sliding mode observer which estimates the rotor position and speed for a wide speed range. These new approaches have been simulated using MATLAB/SIMULINK for a nonlinear model of switched reluctance motor. The simulation results indicate that proposed methods decrease the maximum radial force and the torque ripple while the maximum torque is preserved. Also, these results show that proposed methods will estimate the rotor position and speed with high precision for all speeds from near zero speeds up to rated speed. These procedures have the advantages of simple implementation on the every switched reluctance motor drive without extra hardware, low cost, high reliability, low vibration, and excellent performance at long term

    Critical Aspects of Electric Motor Drive Controllers and Mitigation of Torque Ripple - Review

    Get PDF
    Electric vehicles (EVs) are playing a vital role in sustainable transportation. It is estimated that by 2030, Battery EVs will become mainstream for passenger car transportation. Even though EVs are gaining interest in sustainable transportation, the future of EV power transmission is facing vital concerns and open research challenges. Considering the case of torque ripple mitigation and improved reliability control techniques in motors, many motor drive control algorithms fail to provide efficient control. To efficiently address this issue, control techniques such as Field Orientation Control (FOC), Direct Torque Control (DTC), Model Predictive Control (MPC), Sliding Mode Control (SMC), and Intelligent Control (IC) techniques are used in the motor drive control algorithms. This literature survey exclusively compares the various advanced control techniques for conventionally used EV motors such as Permanent Magnet Synchronous Motor (PMSM), Brushless Direct Current Motor (BLDC), Switched Reluctance Motor (SRM), and Induction Motors (IM). Furthermore, this paper discusses the EV-motors history, types of EVmotors, EV-motor drives powertrain mathematical modelling, and design procedure of EV-motors. The hardware results have also been compared with different control techniques for BLDC and SRM hub motors. Future direction towards the design of EV by critical selection of motors and their control techniques to minimize the torque ripple and other research opportunities to enhance the performance of EVs are also presented.publishedVersio

    Drive control and real-time simulation for switched reluctance motor in a fuel cell power system.

    Get PDF
    Switched Reluctance Motor (SRM) drive is considered as a possible alternative to other conventional variable-speed drives because of several advantages [1], [2]. However, in order for the performance of a switched reluctance motor drive to suit several applications, it has to be tailored through appropriate control. Rotor position sensing is an integral part of SRM control because of the nature of torque production. Sensorless control reduces overall cost and dimension of the drive in addition to improving reliability. In this thesis, an Inductance Model Based Sensorless [8] Switched Reluctance Motor is used to design the drive controller for SRM. A hysteresis current controller and a speed controller were implemented to produce smooth torque and a stable speed for SRM. In addition, the do power supply for the SRM was derived from Fuel Cell Stack rather than from batteries or from utility lines through a front-end diode rectifier. In this research, first, the current controller and the speed controller are developed and connected to the Inductance Based Sensorless SRM model with the Fuel Cell Stack model and an offline simulation using Matlab/Simulink is obtained. A detailed computer model of the SRM control drive connected to the Fuel Cell stack model is developed in which the design of the proposed controller scheme is verified. As a next major step, a Real-Time simulation was obtained for the model using Opal-RT platform, and a comparison between the offline simulation results and real time simulation results is developed. As a final step, the characteristics of the SRM Inductance model, Controller model, and the Fuel Cell stack model are studied in detail, which is required in order to use them in future applications.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .S246. Source: Masters Abstracts International, Volume: 43-05, page: 1783. Adviser: X. Chen. Thesis (M.A.Sc.)--University of Windsor (Canada), 2004

    A Fault Diagnostic Method for Position Sensor of Switched Reluctance Wind Generator

    Get PDF
    corecore