Modelling and optimisation of separately excited DC motor using genetic algorithm and particle swarm optimisation with comparison of PID performance indices

Key Points

• The aim is to optimize the performance of a separately excited DC motor using genetic algorithms and particle swarm optimization.
• Modeling DC motor dynamics
• Application of genetic algorithm for optimization
• Application of particle swarm optimization for comparison
• Evaluation of PID control performance indices
• Demonstrated improvements in motor performance with optimization techniques
• Genetic algorithm and particle swarm optimization produced competitive results
• PID performance indices enhanced through the proposed methods

Abstract