TY - GEN
A1 - Szczepański, Rafał
A1 - Tarczewski, Tomasz
A1 - Grzesiak, Lech M.
PB - Publishing House of Poznan University of Technology
N2 - Nowadays the simulation is inseparable part of researcher's work. Its computation time may significantly exceed the experiment time. On the other hand, multi-core processors are common in personal computers. These processors can be used to reduce computation time by using parallel computing on multiple cores. The most popular software applied to simulate behavior of the plant is MATLAB/Simulink. A single simulation of Simulink model cannot be computed by multiple cores, but there are many engineering problems, that require a multiple simulation of the same model with different parameters. In these problems, the parallel computing can be employed to decrease the overall simulation time. In this paper the parallel computing is used to speed-up the auto-tuning process of state feedback speed controller for PMSM drive. In order to obtain the optimal coefficients of the controller, an Artificial Bee Colony optimization algorithm is employed.
L1 - http://repozytorium.put.poznan.pl/Content/470482/PDF/Szczepa%C5%84ski_Rafa%C5%82_Tarczewski_Tomasz_Grzesiak_Lech_M._Efficiency_analysis_of_parallel_computing_applied_to_auto-tuning_of_state_feedback_speed_controll.pdf
L2 - http://repozytorium.put.poznan.pl/Content/470482
KW - parallel computing
KW - Artificial Bee Colony
KW - PMSM
KW - state feedback
KW - controller
KW - MATLAB/Simulink
T1 - Efficiency analysis of parallel computing applied to auto-tuning of state feedback speed controller for PMSM drive
UR - http://repozytorium.put.poznan.pl/dlibra/docmetadata?id=470482
ER -