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Role of optimization algorithms based fuzzy controller in achieving induction motor performance enhancement.

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This study introduces a quantum-inspired lightning search algorithm (QLSA) to optimize fuzzy logic controllers (FLCs) for three-phase induction motors (TIMs). The QLSA-based FLC (QLSAF) demonstrates superior speed control accuracy and efficiency in industrial applications.

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Artificial Intelligence

Background:

  • Three-phase induction motors (TIMs) are essential in industrial operations, requiring precise control systems.
  • Fuzzy logic controllers (FLCs) offer robust control but their performance relies on membership function (MF) variables, often determined by time-consuming heuristic methods.
  • Optimisation algorithms are increasingly sought to improve FLC design for TIMs.

Purpose of the Study:

  • To develop an efficient optimisation algorithm for determining FLC membership functions (MFs) for three-phase induction motors (TIMs).
  • To enhance the speed control performance of TIMs by employing a quantum-inspired lightning search algorithm (QLSA) based FLC (QLSAF).

Main Methods:

  • An advanced and efficient quantum-inspired lightning search algorithm (QLSA) was developed to optimise the membership function (MF) variables of FLCs.
  • The proposed QLSA-based FLC (QLSAF) was implemented for the speed control of TIMs.
  • Experimental validation was conducted to assess the performance of the QLSAF controller under various operating conditions.

Main Results:

  • The QLSAF demonstrated superior accuracy in speed control compared to other controllers, excelling in transient response and damping capabilities.
  • The algorithm effectively minimized statistical errors across diverse speeds and load conditions.
  • Experimental results closely matched simulation outcomes, confirming consistent speed responses and stator currents.

Conclusions:

  • The quantum-inspired lightning search algorithm (QLSA) provides an efficient alternative to conventional heuristic approaches for optimising FLCs in TIM speed control.
  • The QLSAF controller offers enhanced performance, robustness, and accuracy for industrial applications of three-phase induction motors.