The Experts below are selected from a list of 16989 Experts worldwide ranked by ideXlab platform

Zhang Lei - One of the best experts on this subject based on the ideXlab platform.

  • Study of Brushless Direct Current Motor Control System Based on Field Orientation Control
    IEEE Transactions on Power Electronics, 2012
    Co-Authors: Zhang Lei
    Abstract:

    The torque ripple is the most outstanding problem of brushless Direct Current Motor(BLDCM),the torque ripple mechanism and reduction are introduced.Modelling permanent magnet synchronous Motor field orientation control(FOC), the application of FOC strategy is put forward to reduce the torque ripple of BLDCM,the control strategy and implementation method are given,and the system simulation model is established,the simulation results show the introduced control performance of BLDCM based on FOC is good,and the torque ripple is small.STM32F103B is used as the control core to design the BLDCM control system test platform based on FOC.A BLDCM monitoring system based on VB is designed.The phase Current curve is approximate sine wave,speed ripple is small,and the operation is stable.

Peng Cui - One of the best experts on this subject based on the ideXlab platform.

  • Design of Direct Current Motor Servo Control System Based on SOPC
    Communications Signal Processing and Systems, 2020
    Co-Authors: Tu Ya, Jialu Du, Peng Cui
    Abstract:

    Nios II is applied in Direct Current Motor servo system as core microprocessor of FPGA system in this paper. A SOPC system is created by Qsys and Quartus II. Feedforward-feedback control algorithm is adopted and Fuzzy-PID is taken as the control algorithm of feedback. The position loop, velocity loop, and Current loop control in the system improve both dynamic performance and static characteristic. Fuzzy adaptive PID control algorithm are achieved by Nios II, and simulated in MATLAB/Simulink. The whole system’s analysis, synthesis, simulation and configuration are completed by Quartus II. Results show that this method improves both system responding speed, and tracking precision in DC Motor servo system.

  • CSPS (3) - Design of Direct Current Motor Servo Control System Based on SOPC
    Lecture Notes in Electrical Engineering, 2019
    Co-Authors: Peng Cui
    Abstract:

    Nios II is applied in Direct Current Motor servo system as core microprocessor of FPGA system in this paper. A SOPC system is created by Qsys and Quartus II. Feedforward-feedback control algorithm is adopted and Fuzzy-PID is taken as the control algorithm of feedback. The position loop, velocity loop, and Current loop control in the system improve both dynamic performance and static characteristic. Fuzzy adaptive PID control algorithm are achieved by Nios II, and simulated in MATLAB/Simulink. The whole system’s analysis, synthesis, simulation and configuration are completed by Quartus II. Results show that this method improves both system responding speed, and tracking precision in DC Motor servo system.

Adam Glowacz - One of the best experts on this subject based on the ideXlab platform.

  • recognition of thermal images of Direct Current Motor with application of area perimeter vector and bayes classifier
    Measurement Science Review, 2015
    Co-Authors: Adam Glowacz, Z Glowacz
    Abstract:

    Infrared thermography can measure the temperature of a surface remotely. In this article authors present a diagnostic method of incipient fault detection. The proposed approach is based on pattern recognition. It uses monochrome thermal images of the rotor with the application of an area perimeter vector and a Bayes classifier. The investigations have been carried out for Direct Current Motor without faults and Motor with shorted rotor coils. The measurements were performed in the laboratory. The efficiency of recognition using the area perimeter vector and the Bayes classifier was 100 %. The investigations show that the method based on recognition of thermal images can be profitable for engineers. The proposed method can be applied in mining, metallurgy, fuel industry and in factories where electrical Motors are used.

  • Diagnostics of Direct Current Motor with application of acoustic signals, reflection coefficients and K-Nearest Neighbor classifier
    Przegląd Elektrotechniczny, 2012
    Co-Authors: Adam Glowacz, W. Głowacz
    Abstract:

    One of the main problems faced by engineers, is to ensure the operation of Direct Current Motors. In this paper a pattern recognition method was used to provide the diagnostics of dc Motor. This method is based on a study of acoustic signal. Plan of study of acoustic signals for two conditions of Direct Current Motor was proposed. Studies were carried out for algorithms of data processing: reflection coefficients and K-Nearest Neighbor classifier with Manhattan distance. Developed method can be performed automatically. This system is a significant step towards the maintenance-free diagnostic systems of Direct Current Motors. Streszczenie. Jednym z podstawowych problemow, z jakim spotykają sie inzynierowie, jest zapewnienie funkcjonowania silnikow elektrycznych. W niniejszej pracy metoda rozpoznawania wzorcow zostala uzyta do diagnostyki silnika prądu stalego. Metoda ta oparta jest na badaniu sygnalu akustycznego. Zaproponowano plan badania sygnalow akustycznych dla dwoch stanow silnika prądu stalego. Badania zostaly przeprowadzone dla algorytmow przetwarzania danych: wspolczynnikow odbiciowych i klasyfikatora K-Najblizszego Sąsiada z metryką Manhattan. Opracowana metoda moze byc wykonywana automatycznie. System ten jest istotnym krokiem w kierunku bezobslugowych systemow diagnostycznych silnikow prądu stalego.(Diagnostyka silnika prądu stalego z zastosowaniem sygnalow akustycznych, wspolczynnikow odbiciowych i klasyfikatora KNajblizszego Sąsiada).

Xu Xin-hua - One of the best experts on this subject based on the ideXlab platform.

Ma Lin - One of the best experts on this subject based on the ideXlab platform.

  • Direct torque control method based on sectional sliding mode variable structure for brushless Direct Current Motor
    2013
    Co-Authors: Zhu Junjie, Ma Lin
    Abstract:

    The invention provides a Direct torque control method based on a sectional sliding mode variable structure for a brushless Direct Current Motor. A sectional sliding mode variable structure state observer is used for refactoring counter electromotive force of the Motor, and then a space vector switch state selector is used for controlling on and off of six switching tubes of a three-phase inverter power supply, so that Direct torque control of the brushless Direct Current Motor is solved. According to the relation of electromagnetic torque with the counter electromotive force and magnetic flux linkage, a voltage space vector control method is adopted for realizing Direct torque control of the brushless Direct Current Motor. Since sliding mode variable structure control is unrelated to system parametric variation and external interference, robustness of a sliding mode variable structure system is higher than that of a conventional continuous system. Experimental results prove that buffeting of the system can be improved by sectional sliding mode variable structure control, and rapidness and robustness of the system are further improved.