Prediction of an electromechanical system parameters using the Particle Swarm Optimization algorithm
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Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the effect of the mechanical parts consisting of Tachometer/Gearbox, Digital Encoder, Input and Output Potentiometers, a brake disc, transmission belt, and some couplings which are directly connected to the shaft of a DC servo motor is investigated. The appropriate model of the DC servo motor can be achieved by modeling the effect of the mechanical parts correctly. The contribution of these mechanical parts is added to the mathematical model of the DC servo motor as new parameters. These parameters are estimated by using the Particle Swarm Optimization (PSO) algorithm since the convergence speed of the PSO is high. The result of the PSO algorithm is confirmed with experimental results. According to the experimental results, the obtained mathematical model including the effect of mechanical parts represents the real system more accurate. © 2016 IEEE.
Açıklama
IEEE Computational Intelligence Chapter; IEEE Hungary Section; IEEE Industrial Electronics Society; IEEE Joint Chapter of IES and RAS; IEEE SMC Chapter
20th Jubilee IEEE International Conference on Intelligent Engineering Systems, INES 2016 -- 30 June 2016 through 2 July 2016 -- Budapest -- 123516
20th Jubilee IEEE International Conference on Intelligent Engineering Systems, INES 2016 -- 30 June 2016 through 2 July 2016 -- Budapest -- 123516
Anahtar Kelimeler
Belt conveyors, DC motors, Optimization, Parameter estimation, Speed control, Voltage dividers, Appropriate models, Convergence speed, Digital encoder, Electromechanical systems, Input and outputs, Mechanical parts, Particle swarm optimization algorithm, Transmission belt, Particle swarm optimization (PSO)
Kaynak
INES 2016 - 20th Jubilee IEEE International Conference on Intelligent Engineering Systems, Proceedings
