Please no more PID tuning rules

Bibliographic Details
Main Author: Oliveira, Paulo de Moura
Publication Date: 2002
Other Authors: Cunha, José Boaventura, Coelho, João Paulo
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10198/2778
Summary: Despite the large number of existent design and tunig techniques, adequate PID controller tuning by plant operations is still not accomplished in many process control loops. The particle swarm optimisation algorithms is proposed as an alternative technique to design and tune PID controllers for linear single-input single-output systems. This evolutionary approach is illustrated by a simulation example, in which the PID is used to control a set of models that represents a wide variety of process dynamics, regarded as benchmak problems for the evaluation of commercial devices involving PID control.
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spelling Please no more PID tuning rulesPID controlTuning based on optimisationProcess controlParticle swarm optimisationEvolutionary algorithmsPID controlTuning based on optimisationProcess controlParticle swarm optimisationEvolutionary algorithmsDespite the large number of existent design and tunig techniques, adequate PID controller tuning by plant operations is still not accomplished in many process control loops. The particle swarm optimisation algorithms is proposed as an alternative technique to design and tune PID controllers for linear single-input single-output systems. This evolutionary approach is illustrated by a simulation example, in which the PID is used to control a set of models that represents a wide variety of process dynamics, regarded as benchmak problems for the evaluation of commercial devices involving PID control.Biblioteca Digital do IPBOliveira, Paulo de MouraCunha, José BoaventuraCoelho, João Paulo2010-11-10T09:58:32Z20022002-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/2778engOliveira, Paulo; Cunha, José; Coelho, João (2002). Please no more PID tuning rules. In Controlo 2002, 5ª Conferência Portuguesa de Controlo Automático. Aveiro – Portugal. p.126-131info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T11:55:15Zoai:bibliotecadigital.ipb.pt:10198/2778Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:16:47.086405Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Please no more PID tuning rules
title Please no more PID tuning rules
spellingShingle Please no more PID tuning rules
Oliveira, Paulo de Moura
PID control
Tuning based on optimisation
Process control
Particle swarm optimisation
Evolutionary algorithms
PID control
Tuning based on optimisation
Process control
Particle swarm optimisation
Evolutionary algorithms
title_short Please no more PID tuning rules
title_full Please no more PID tuning rules
title_fullStr Please no more PID tuning rules
title_full_unstemmed Please no more PID tuning rules
title_sort Please no more PID tuning rules
author Oliveira, Paulo de Moura
author_facet Oliveira, Paulo de Moura
Cunha, José Boaventura
Coelho, João Paulo
author_role author
author2 Cunha, José Boaventura
Coelho, João Paulo
author2_role author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Oliveira, Paulo de Moura
Cunha, José Boaventura
Coelho, João Paulo
dc.subject.por.fl_str_mv PID control
Tuning based on optimisation
Process control
Particle swarm optimisation
Evolutionary algorithms
PID control
Tuning based on optimisation
Process control
Particle swarm optimisation
Evolutionary algorithms
topic PID control
Tuning based on optimisation
Process control
Particle swarm optimisation
Evolutionary algorithms
PID control
Tuning based on optimisation
Process control
Particle swarm optimisation
Evolutionary algorithms
description Despite the large number of existent design and tunig techniques, adequate PID controller tuning by plant operations is still not accomplished in many process control loops. The particle swarm optimisation algorithms is proposed as an alternative technique to design and tune PID controllers for linear single-input single-output systems. This evolutionary approach is illustrated by a simulation example, in which the PID is used to control a set of models that represents a wide variety of process dynamics, regarded as benchmak problems for the evaluation of commercial devices involving PID control.
publishDate 2002
dc.date.none.fl_str_mv 2002
2002-01-01T00:00:00Z
2010-11-10T09:58:32Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/2778
url http://hdl.handle.net/10198/2778
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Oliveira, Paulo; Cunha, José; Coelho, João (2002). Please no more PID tuning rules. In Controlo 2002, 5ª Conferência Portuguesa de Controlo Automático. Aveiro – Portugal. p.126-131
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833591755445895168

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