Computationally Efficient Deadbeat Direct Torque Control Considering Speed Dynamics for a Surface-Mounted PMSM Drive

Abd Ur Rehman, Bilal Abdul Basit, Han Ho Choi, Jin Woo Jung

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

In this article, a computationally efficient deadbeat (DB) direct torque and flux control is investigated for surface-mounted permanent magnet synchronous motor (SPMSM) drives. Unlike conventional DB direct torque control (DB-DTC), the proposed DB-DTC technique simultaneously manipulates the electromagnetic torque and stator flux along with rotor speed in a combined DB controller structure. Moreover, a simple and computationally efficient DB-DTC structure is achieved through a novel DB controller design in the stationary reference frame and it ensures an improved transient performance within finite time steps. The feedforward terms are properly designed to mitigate the effects of system uncertainties. The stability of the proposed DB-DTC has been proven and discussed in detail through Lyapunov theory and eigenvalue analysis. The designed DB-DTC strategy has been simulated via MATLAB/Simulink software and practically evaluated on a laboratory SPMSM drive with TI digital signal processor TMS320F28335. Extensive comparative evaluation with conventional proportional-integral (PI)-DTC and DB-DTC corroborate an improved control performance in speed/torque dynamic response (fast rise time) as well as reductions in torque and flux ripples under tough practical conditions (e.g., speed and torque step-changes, and speed reversal test cases) with significantly reduced computational complexity.

Original languageEnglish
Pages (from-to)3407-3418
Number of pages12
JournalIEEE/ASME Transactions on Mechatronics
Volume27
Issue number5
DOIs
StatePublished - 1 Oct 2022

Keywords

  • Deadbeat (DB) control (DBC)
  • electric motor drives
  • predictive control
  • space-vector modulation-based DTC (SVM-DTC)
  • speed control
  • torque and flux ripples reduction

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