Particle Swarm Optimization-based design of polynomial RST controllers

In this paper, we propose a new method for digital RST controller design based on the Particle Swarm Optimization metaheuristic. It is a systematic RST synthesis and tuning procedure to deal with the complexity of the known classical poles placement methods. The case of an electric DC drive benchmark has been successfully obtained to illustrate the efficiency of the proposed PSO-based RST control approach. Simulation results show the advantages of the designed PSO-tuned RST structure in terms of performance and robustness. A comparison with the well known Genetic Algorithm Optimization technique is investigated in order to show the superiority and effectiveness of the proposed PSO-based approach.

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