This paper presents a PI-based field-weakening controller design for induction machine (IM), prioritizing high-speed operation under voltage and current constraints. The core innovation lies in replacing rotor flux estimation with direct stator voltage regulation to dynamically adjust flux, inherently decoupling the control from parameter sensitivity. A systematic PI controller design methodology ensures precise regulation of flux and torque currents while analytically enforcing voltage and current limits, guaranteeing stability and optimal tracking across the field-weakening region. Simulations validate the controller’s performance, achieving 300% of the rated speed with smooth torque, reduced current ripple, and full DC bus utilization. By rigorously addressing design trade-offs and eliminating flux estimation dependencies, this work provides a practical framework for robust, high-speed IM drives in field-weakening applications.

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Adaptive Field-Weakening Control of Induction Machines with Nonlinear Magnetizing Inductance

  • Mustapha Es-Semyhy,
  • Abdellfattah Ba-Razzouk,
  • Mustapha El Haroussi

摘要

This paper presents a PI-based field-weakening controller design for induction machine (IM), prioritizing high-speed operation under voltage and current constraints. The core innovation lies in replacing rotor flux estimation with direct stator voltage regulation to dynamically adjust flux, inherently decoupling the control from parameter sensitivity. A systematic PI controller design methodology ensures precise regulation of flux and torque currents while analytically enforcing voltage and current limits, guaranteeing stability and optimal tracking across the field-weakening region. Simulations validate the controller’s performance, achieving 300% of the rated speed with smooth torque, reduced current ripple, and full DC bus utilization. By rigorously addressing design trade-offs and eliminating flux estimation dependencies, this work provides a practical framework for robust, high-speed IM drives in field-weakening applications.