| Abstract |
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. |
