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Tuning of a PID controller using a multi-objective optimization technique applied to a neutralization plant
Citation Link: https://doi.org/10.15480/882.239
Publikationstyp
Conference Paper
Date Issued
2005
Sprache
English
Author(s)
Institut
TORE-DOI
Citation
44th IEEE Conference on Decision and Control and European Control Conference, December 2005, Sevilla, Spain
Most control engineering problems are characterized by several, often contradicting, objectives, which have to be satisfied simultaneously. Two widely used methods for finding the optimal solution to such problems are aggregating to a single criterion, and using Pareto-optimal solutions. Here we propose a Genetic Algorithm (GA) approach using a combination of both methods to find a fixed-gain, discrete-time PID controller for a chemical neutralization plant. Known to be highly non-linear and with varying time delay, this plant provides a challenging testbed for nonlinear control strategies. Experimental results confirm that a multi-objective, Pareto-based GA search gives a better performance than a single objective GA. The former method was also used to design a gain-scheduled PID controller, for which also experimental results are shown.
Subjects
Neutralizationprozess
Control Systems
PID control
Neutralization plant
Evolutionary Algorithms
Genetic Algorithms
DDC Class
600: Technology
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CDC_ECC_2005_paper_2798.pdf
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