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Efficient feedback linearization control for an IPMSM of EVs based on improved firefly algorithm.

Xiaodong Sun1, Naixi Xu1, Ming Yao2

  • 1Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China.

ISA Transactions
|September 15, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an improved feedback-linearization direct torque control (FL-DTC) for interior permanent magnet synchronous motors (IPMSMs). The method significantly reduces torque and flux ripples, enhancing performance for electric vehicle applications.

Keywords:
Direct torque controlFeedback linearization controlFirefly algorithmInterior permanent magnet synchronous motor (IPMSM)

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Power Electronics

Background:

  • Conventional direct torque control (DTC) for interior permanent magnet synchronous motors (IPMSMs) suffers from significant torque and stator flux fluctuations, leading to stator current distortion.
  • These fluctuations negatively impact the drive's performance, particularly in demanding applications like electric vehicles.

Purpose of the Study:

  • To propose and validate an efficient control method for IPMSM drives that mitigates torque and stator flux ripples.
  • To enhance the dynamic response and steady-state performance of IPMSM drives using an improved feedback-linearization direct torque control (FL-DTC) approach.

Main Methods:

  • A decoupled linear model was derived for the IPMSM to implement feedback linearization control, utilizing orthogonal transformation for d-q axis voltages and additional control inputs.
  • The Hamiltonian efficient control theory, integrated with an improved firefly algorithm, was employed to derive an analytical solution for controller design.
  • An efficient linearization controller was designed considering a cost function that includes the inverter's maximum voltage limit.

Main Results:

  • The proposed FL-DTC method effectively reduced torque and flux ripples in steady-state operation compared to conventional DTC.
  • The improved FL-DTC demonstrated a good dynamic response when subjected to variations in speed and torque.
  • Simulation and experimental results validated the superior performance of the proposed control strategy.

Conclusions:

  • The developed FL-DTC method, optimized with an improved firefly algorithm, offers a significant improvement over conventional DTC for IPMSM drives.
  • This advanced control strategy is well-suited for electric vehicle applications due to its ability to minimize torque and flux ripples and maintain robust dynamic performance.