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Particle Swarm Optimization of PID Tuning Parameters: Optimal Tuning of Single-Input-Single-Output Control Loops - Couverture souple

Pillay, Nelendran; Govender, Poobalan

 
9783838341323: Particle Swarm Optimization of PID Tuning Parameters: Optimal Tuning of Single-Input-Single-Output Control Loops
Couverture souple
ISBN 10 : 3838341325 ISBN 13 : 9783838341323
Editeur : LAP Lambert Academic Publishing, 2010

Synopsis

Empirical studies have found that conventional tuning methods result in an unsatisfactory control performance when they are used for processes experiencing the negative destabilizing effects of strong nonlinearities. It is for this reason that control practitioners often prefer to tune most nonlinear systems using trial and error tuning, or intuitive tuning. Particle Swarm Optimization (PSO), developed by Eberhart and Kennedy (1995) was inspired by swarming behavior occurring in nature. In this work, the problem of identifying the PID controller parameters is considered as an optimization problem employing the PSO technique. A wide range of typical process models commonly encountered in industry is used to assess the efficacy of the PSO methodology. Comparisons are made between the PSO technique and other conventional methods using simulations and real-time control. This analysis should be useful to control practitioners who are considering using the PSO algorithm for tuning of PID controllers.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Empirical studies have found that conventional tuning methods result in an unsatisfactory control performance when they are used for processes experiencing the negative destabilizing effects of strong nonlinearities. It is for this reason that control practitioners often prefer to tune most nonlinear systems using trial and error tuning, or intuitive tuning. Particle Swarm Optimization (PSO), developed by Eberhart and Kennedy (1995) was inspired by swarming behavior occurring in nature. In this work, the problem of identifying the PID controller parameters is considered as an optimization problem employing the PSO technique. A wide range of typical process models commonly encountered in industry is used to assess the efficacy of the PSO methodology. Comparisons are made between the PSO technique and other conventional methods using simulations and real-time control. This analysis should be useful to control practitioners who are considering using the PSO algorithm for tuning of PID controllers.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838341325
ISBN 13 
9783838341323
Reliure
Broché
Nombre de pages
196
Coordonnées du fabricant
non disponible
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