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Optimal Multiobjective PID Design by PSO | IEEE Conference Publication | IEEE Xplore

Abstract:

This paper used an improved particle swarm optimizer to solve an problem for optimal multiobjective PID design, including the uncertainty of the controlled field and exte...Show More

Abstract:

This paper used an improved particle swarm optimizer to solve an problem for optimal multiobjective PID design, including the uncertainty of the controlled field and external unknown interference. Experimental result shows that the performance of optimal design for the PID controller by using the improved PSO is better than by using the hybrid Taguchi-genetic algorithm.
Date of Conference: 06-09 October 2019
Date Added to IEEE Xplore: 28 November 2019
ISBN Information:

ISSN Information:

Conference Location: Bari, Italy

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