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To accomplish an optimized tuning of a PI controller in a three-phase Induction motor’s (IM) direct torque control (DTC), this study suggests two standardized optimization strategies called Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) and compares, controls, analyzes them with conventional method. These techniques are used for adjustment of the Proportional-Integral (PI) controllers so that proper values of motor output parameters can be obtained in DTC loops. The goal of this study is to choose the most effective and reliable metaheuristic optimization approach from the two available options, PI-PSO and PI-ACO for DTC of IM. The MATLAB/Simulink platform is used to implement both proposed control systems, and simulation results are shown to support the strategy. The ACO-PI of DTC gives great work performance for the IM system drive. The comparative findings between the suggested control method and the traditional DTC and PSO-PI revealed a considerable improvement in the control system. As a result, a highly accurate electromagnetic torque and speed estimate for calculating motor characteristics is produced.

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PSO and ACO Techniques with Speed Controller Tuning for DTC Controlled Induction Motor Drive

  • 会议论文

  • 发表日期：

    2025年

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  • Arpita Banik,
  • Raja Gandhi,
  • Rakesh Roy

摘要

To accomplish an optimized tuning of a PI controller in a three-phase Induction motor’s (IM) direct torque control (DTC), this study suggests two standardized optimization strategies called Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) and compares, controls, analyzes them with conventional method. These techniques are used for adjustment of the Proportional-Integral (PI) controllers so that proper values of motor output parameters can be obtained in DTC loops. The goal of this study is to choose the most effective and reliable metaheuristic optimization approach from the two available options, PI-PSO and PI-ACO for DTC of IM. The MATLAB/Simulink platform is used to implement both proposed control systems, and simulation results are shown to support the strategy. The ACO-PI of DTC gives great work performance for the IM system drive. The comparative findings between the suggested control method and the traditional DTC and PSO-PI revealed a considerable improvement in the control system. As a result, a highly accurate electromagnetic torque and speed estimate for calculating motor characteristics is produced.