The Experts below are selected from a list of 35847 Experts worldwide ranked by ideXlab platform

Mohamed Boussak - One of the best experts on this subject based on the ideXlab platform.

  • MRAS state estimator for speed sensorless ISFOC induction motor drives with Luenberger Load Torque estimation
    ISA Transactions, 2016
    Co-Authors: Youssef Agrebi Zorgani, Yassine Koubaa, Mohamed Boussak
    Abstract:

    This paper presents a novel method for estimating the Load Torque of a sensorless indirect stator flux oriented controlled (ISFOC) induction motor drive based on the model reference adaptive system (MRAS) scheme. As a matter of fact, this method is meant to inter-connect a speed estimator with the Load Torque observer. For this purpose, a MRAS has been applied to estimate the rotor speed with tuned Load Torque in order to obtain a high performance ISFOC induction motor drive. The reference and adjustable models, developed in the stationary stator reference frame, are used in the MRAS scheme in an attempt to estimate the speed of the measured terminal voltages and currents. The Load Torque is estimated by means of a Luenberger observer defined throughout the mechanical equation. Every observer state matrix depends on the mechanical characteristics of the machine taking into account the vicious friction coefficient and inertia moment. Accordingly, some simulation results are presented to validate the proposed method and to highlight the influence of the variation of the inertia moment and the friction coefficient on the speed and the estimated Load Torque. The experimental results, concerning to the sensorless speed with a Load Torque estimation, are elaborated in order to validate the effectiveness of the proposed method. The complete sensorless ISFOC with Load Torque estimation is successfully implemented in real time using a digital signal processor board DSpace DS1104 for a laboratory 3 kW induction motor.

I Kolmanovsky - One of the best experts on this subject based on the ideXlab platform.

  • adaptive kalman filter based Load Torque compensator for improved si engine idle speed control
    IEEE Transactions on Control Systems and Technology, 2009
    Co-Authors: Danijel Pavkovic, Josko Deu, I Kolmanovsky
    Abstract:

    This paper presents design of an SI engine Load Torque estimator based on an adaptive Kalman filter. The adaptive estimator is characterized by a fast response and good noise suppression ability. The estimator is used to establish a fast Load Torque compensation path within a proportional-plus-integral (PI) controller-based idle speed control system. The proposed adaptive controller has been verified by means of experiments, and compared with PI, PID and polynomial controllers. The experimental results point out to favorable performance of the adaptive controller for a wide engine operating range.

Arkadiusz Lewicki - One of the best experts on this subject based on the ideXlab platform.

  • Speed and Load Torque observer application in high-speed train electric drive
    IEEE Transactions on Industrial Electronics, 2010
    Co-Authors: Jaroslaw Guzinski, Marc Diguet, Zbigniew Krzeminski, Haitham Abu-rub, Arkadiusz Lewicki
    Abstract:

    This paper presents an application of induction motor mechanical speed and Load Torque observers in high-speed train drives. The observers are applied for a 1.2-MW electric drive with an induction motor. The goal of using such observers is to utilize computed variables for diagnostic purposes of speed sensors and Torque transmission system. The concept of diagnostic system is presented in this paper, and proper criteria are proposed. The suggested system is designed to work without a speed sensor in the case of existing sensor faults. Monitored motor Load Torque is used to limit the maximum motor Torque in the case of existing problems in the gearbox. The results of simulation and experimental investigations for a 1.2-MW induction motor drive are presented.

Danijel Pavkovic - One of the best experts on this subject based on the ideXlab platform.

  • adaptive kalman filter based Load Torque compensator for improved si engine idle speed control
    IEEE Transactions on Control Systems and Technology, 2009
    Co-Authors: Danijel Pavkovic, Josko Deu, I Kolmanovsky
    Abstract:

    This paper presents design of an SI engine Load Torque estimator based on an adaptive Kalman filter. The adaptive estimator is characterized by a fast response and good noise suppression ability. The estimator is used to establish a fast Load Torque compensation path within a proportional-plus-integral (PI) controller-based idle speed control system. The proposed adaptive controller has been verified by means of experiments, and compared with PI, PID and polynomial controllers. The experimental results point out to favorable performance of the adaptive controller for a wide engine operating range.

  • si engine Load Torque estimator based on adaptive kalman filter and its application to idle speed control
    SAE transactions, 2005
    Co-Authors: Danijel Pavkovic, Josko Deu, Vladimi Ivanovic, Davo Hrova
    Abstract:

    The paper presents a detailed design procedure of an Sl engine Load Torque estimator based on an adaptive Kalman filter. The adaptation mechanism is based on a simple and robust Load Torque change detection algorithm. The presented simulation and experimental results point out that the estimator is characterized by a fast response and good noise suppression. The proposed estimator is used to establish a fast Load Torque compensation path in an idle speed control system. The presented simulation and experimental results show that this yields a significant improvement of idle speed control performance.

Jilong Liu - One of the best experts on this subject based on the ideXlab platform.

  • Load Torque and moment of inertia identification for permanent magnet synchronous motor drives based on sliding mode observer
    IEEE Transactions on Power Electronics, 2019
    Co-Authors: Chuanqiang Lian, Fei Xiao, Shan Gao, Jilong Liu
    Abstract:

    In this paper, a Load Torque observer and two moment of inertia identification methods are developed for permanent magnet synchronous motor drive systems. First, the Load Torque identification method is proposed based on sliding mode observer, in which the mismatches of moment of inertia, electromagnetic Torque, and viscous friction are all considered. It is analyzed that the chattering phenomenon will be well weakened if appropriate observer parameters are chosen. Second, based on the property that the mismatch of the moment of inertia will cause the Load Torque observation error, two types of moment of inertia identification methods, called direct calculation (DC) method and proportional integral (PI) regulator method, are presented to identify the moment of inertia. In addition, the identification errors of the DC and PI regulator methods are also analyzed theoretically. Simulation and experimental results show that compared with the conventional identification method of the moment of inertia, the proposed DC and PI methods have improved estimation accuracy. Moreover, the presented Load Torque observer also has high observation precision and fast convergence speed.