Abstract
In this paper, the generalized predictive control (GPC) algorithm is introduced to control the position of a permanent magnet synchronous motor (PMSM). For this aim, the CARIMA model of PMSM is derived and the theoretical basics of multivariable GPC are described. In order to reduce computational burden, the GPC algorithm is extended by approach of using Laguerre functions. In conclusion, the HiL simulation results of PMSM position control, given by GPC algorithm are compared to the results of the conventional field oriented control (using PI controllers).
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