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Passivity-based current controller design for a permanent-magnet synchronous motor.

A Y Achour1, B Mendil, S Bacha

  • 1Department of Electrical Engineering, A. Mira University, Bejaia, Algeria. achouryazid@yahoo.fr

ISA Transactions
|May 12, 2009
PubMed
Summary
This summary is machine-generated.

A new passivity-based controller enhances permanent-magnet synchronous motor control in AC drives. This controller effectively manages nonlinear dynamics and time-varying parameters for precise speed and torque tracking.

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Area of Science:

  • Electrical Engineering
  • Control Systems

Background:

  • Controlling permanent-magnet synchronous motors (PMSMs) in AC drives is challenging due to nonlinear dynamics and time-varying parameters.
  • Existing control methods often rely on complex models like Euler-Lagrange, which can be computationally intensive.

Purpose of the Study:

  • To present a novel passivity-based controller for PMSMs.
  • To enable precise tracking of time-varying speed and torque trajectories.
  • To develop a control strategy independent of rotor angular position.

Main Methods:

  • A flux-based dq modeling approach, derived from the three-phase abc model via a Park transform, was employed.
  • The controller design avoids the Euler-Lagrange model and destructuring.
  • Workless force terms in the dq model were not compensated, as they do not impact energy balance or stability.
  • Control law implementation focused on imposing a desired damped transient rather than exact cancellation of plant dynamics.

Main Results:

  • The proposed controller successfully forces the PMSM to track time-varying speed and torque trajectories.
  • Numerical simulations validated the effectiveness of the developed control strategy.
  • The flux-based dq model proved advantageous, being independent of rotor angular position.

Conclusions:

  • The novel passivity-based controller offers an effective solution for PMSM control in AC drives.
  • The controller's design simplifies the modeling process by utilizing a flux-based dq model.
  • The approach ensures system stability and achieves desired transient performance without exact cancellation of nonlinearities.