Application of Genetic Programming for Fine Tuning PID Controller Parameters Designed Through Ziegler-Nichols Technique

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{conf/icnc/AlmeidaSNY05,

• title = "Application of Genetic Programming for Fine Tuning {PID} Controller Parameters Designed Through {Ziegler-Nichols} Technique",
• author = "Gustavo Maia {de Almeida} and Valceres Vieira Rocha {e Silva} and Erivelton Geraldo Nepomuceno and Ryuichi Yokoyama",
• year = "2005",
• pages = "313--322",
• editor = "Lipo Wang and Ke Chen and Yew-Soon Ong",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3612",
• booktitle = "Advances in Natural Computation, First International Conference, ICNC 2005, Proceedings, Part III",
• address = "Changsha, China",
• month = aug # " 27-29",
• bibdate = "2005-08-01",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icnc/icnc2005-3.html#AlmeidaSNY05",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-28320-X",
• DOI = "doi:10.1007/11539902_37",
• size = "10 pages",
• abstract = "PID optimal parameters selection have been extensively studied, in order to improve some strict performance requirements for complex systems. Ziegler-Nichols methods give estimated values for these parameters based on the system's transient response. Therefore, a fine tuning of these parameters is required to improve the system's behaviour. In this work, genetic programming is used to optimise the three parameters Kp , Ti and Td , after been tuned by Ziegler-Nichols method, to control a high-order process, a large time delay plant and a highly non-minimum phase process. The results were compared to some other tuning methods, and showed to be promising.",

}

Genetic Programming entries for Gustavo Maia de Almeida Valceres Vieira Rocha e Silva Erivelton Geraldo Nepomuceno Ryuichi Yokoyama

Citations