Parametric identification of electrical drive with complex mechanical structure utilizing Particle Swarm Optimization method
[ 1 ] Instytut Automatyki, Robotyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee
2017
chapter in monograph / paper
english
- permanent magnet motor
- simulation
- control methods for electrical system
- control of drive
- motion control
- modelling
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.
09.11.2017
P.1 - P.10
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WoS (15)