• DocumentCode
    230394
  • Title

    Simultaneous optimization of voltage vector and duty cycle in model predictive torque control of PMSM drives

  • Author

    Yongchang Zhang ; Suyu Gao

  • Author_Institution
    Inverter Technol. Eng. Res. Center of Beijing, North China Univ. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    3338
  • Lastpage
    3344
  • Abstract
    Model predictive torque control (MPTC) is attracting wide attention in the control of permanent magnet synchronous motor (PMSM) drives owing to its conceptual simplicity and flexibility to incorporate nonlinear constraints. However, the steady torque ripple is still relatively large because of the limited voltage vectors in two-level inverter. Recently the concept of duty cycle control was introduced in MPTC to achieve steady state performance improvement. However the low speed performance is still not satisfactory due to the separate processing of voltage vector selection and duty cycle. This paper proposes an improved MPTC by simultaneous optimization of voltage vector and duty cycle in the cost function. As a result, much better steady state performance in terms of torque ripple and current harmonics can be obtained compared to prior methods. Furthermore, the proposed method is less insensitive to the weighting factor variations. The presented simulation and experimental results confirm the effectiveness of the proposed scheme.
  • Keywords
    invertors; machine vector control; nonlinear control systems; permanent magnet motors; predictive control; synchronous motor drives; torque control; voltage control; MPTC; PMSM drives; cost function; current harmonics; duty cycle control; model predictive torque control; nonlinear constraints; permanent magnet synchronous motor drives; steady state performance improvement; torque ripple; two-level inverter; voltage vector selection; weighting factor variations; Cost function; Mathematical model; Stators; Steady-state; Torque; Vectors; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ICEMS.2014.7014068
  • Filename
    7014068