Multi-Objective Particle Swarm Optimization Design of PID Controllers
نویسندگان
چکیده
A new multi-objective particle swarm optimization algorithm is presented. The proposed multi-objective particle swarm optimization algorithm is based on a MaxiMin technique previously proposed for a multi-objective genetic algorithm. The technique is applied to optimize a benchmark function set and to the design of PID controllers regarding the objectives of set-point tracking and output disturbance rejection.
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