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Chapter

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Title

Parametric identification of electrical drive with complex mechanical structure utilizing Particle Swarm Optimization method

Authors

[ 1 ] Instytut Automatyki, Robotyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics and electrical engineering

Year of publication

2017

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • permanent magnet motor
  • simulation
  • control methods for electrical system
  • control of drive
  • motion control
  • modelling
Abstract

EN The article presents results of parametric identification of mechanical part of drive system with permanent magnet synchronous motor by means of heuristic method of Particle Swarm Optimization (PSO). The assumed mechanical part has a complex structure, consisting of two-mass connected by an elastic joint with backlash. The optimization process was designed to find model parameters that assure the smallest difference between model and object response, by means of multiple simulations ran with different values of parameters. In the presented comparison, two versions of cost function and three different excitation signals were examined.

Date of online publication

09.11.2017

Pages (from - to)

P.1 - P.10

DOI

10.23919/EPE17ECCEEurope.2017.8099375

URL

https://ieeexplore.ieee.org/document/8099375

Book

19th European Conference on Power Electronics and Applications (EPE'17 ECCE Europe)

Presented on

19th European Conference on Power Electronics and Applications (EPE'17 ECCE Europe), 11-14.09.2017, Warsaw, Poland

Ministry points / chapter

20

Publication indexed in

WoS (15)

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