Power Perturbation Based MTPA with an Online Tuning Speed Controller for an IPMSM Drive System

Faa Jeng Lin, Ying Tsen Liu, Wei An Yu

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

A novel maximum torque per ampere (MTPA) method based on power perturbation for a field-oriented control interior permanent magnet synchronous motor (IPMSM) drive system is proposed in this study. The proposed MTPA method, which is parameter independent and can improve the motor operation at both start-up and low speed, is designed based on the power perturbation by using the signal injection in the current angle. Moreover, the influence of current and voltage harmonics to the MTPA control can be eliminated effectively. Furthermore, to enhance the robustness of the control system, an online tuning scheme for an integral-proportional controller using a new wavelet fuzzy neural network with disturbance torque feedforward control is developed where the disturbance torque is obtained from an improved disturbance torque observer. Finally, some experimental results using an IPMSM drive system based on a low-price digital signal processor are presented. From the experimental results, the proposed control approach can guarantee the control performance of the speed loop, even under a cyclic fluctuating load.

Original languageEnglish
Article number8066369
Pages (from-to)3677-3687
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume65
Issue number5
DOIs
StatePublished - May 2018

Keywords

  • Interior permanent magnet synchronous motor (IPMSM)
  • maximum torque per ampere (MTPA) control
  • online tuning speed control
  • power perturbation
  • wavelet fuzzy neural network (WFNN)

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