Three Evolutionary Optimization Algorithms in PI Controller Tuning

This chapter discusses three evolutionary optimization algorithms employed in the optimal tuning of PI controllers dedicated to a class of second-order processes with an integral component and variable parameters. The evolutionary algorithms used in this chapter are: Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA) and Charged System Search (CSS). The PI controllers are tuned such that to ensure a reduced sensitivity with respect to the parametric variations of the small time constant of the process. The application of the algorithms is illustrated in a case study.

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