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This paper presents the implementation of an AI strategy genetic algorithm (GA) in the field weakening DC motor controller of a four quadrant drive DC chopper (FQDC). The field weakening mode of the FQDC for series motor could fail which causes the torque and motor speed decrease if the FQDC cause an incorrect field motor current to the motor. In the presence of the worst maximum magnetic field due to increase motor speed demand above base speed, a field current imbalance condition occurs in the motor control system. Hence, a genetic algorithm is used to find the most optimized firing angle for different equal or unequal armature current and field current of the two parallel switches, at which the highest torque will be present in the system. Simulations are performed in the MATLAB/SIMULINK environment.

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Development of Genetics Algorithm Look-Up Table in the Field Weakening Mode of a Series Motor Four Quadrants Drive DC Chopper

  • 章节

  • 发表日期：

    2026年

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  • Nurazlin Mohd Yaakop,
  • Saharul Arof,
  • Azmi Hassan,
  • Norzalina Othman,
  • Philip A. Mawby,
  • Hamzah Arof,
  • Emilia Noorsal

摘要

This paper presents the implementation of an AI strategy genetic algorithm (GA) in the field weakening DC motor controller of a four quadrant drive DC chopper (FQDC). The field weakening mode of the FQDC for series motor could fail which causes the torque and motor speed decrease if the FQDC cause an incorrect field motor current to the motor. In the presence of the worst maximum magnetic field due to increase motor speed demand above base speed, a field current imbalance condition occurs in the motor control system. Hence, a genetic algorithm is used to find the most optimized firing angle for different equal or unequal armature current and field current of the two parallel switches, at which the highest torque will be present in the system. Simulations are performed in the MATLAB/SIMULINK environment.