Deadbeat model predictive current control of five-phase permanent magnet synchronous motors with Luenberger observer
To improve the anti-disturbance performance of a five-phase permanent magnet synchronous motor(PMSM)drive,a deadbeat-model predictive current control(DB-MPCC)method with Luenberger observer is proposed.First,the DB-MPCC method is constructed using the space vector modulation technique,and the impacts of the variations by stator resistance,inductance and permanent magnet flux-linkage on the phase cur-rent performance and system stability of five-phase PMSM drive are analyzed.Then,an improved Luenberger observer is proposed according to the current differential equations.The disturbances regarding parameter un-certainties are specified as the lumped parameter.Meanwhile,a simplified gain matrix is designed to solve the observer gain.Finally,the effectiveness of the developed scheme is verified by experiments.The results show that the DB-MPCC method can eliminate static current errors caused by parameter deviations as well as ensure the stability of the system,and the proposed method can effectively observe and suppress the disturbances caused by the variations of stator resistance,inductance and permanent magnet flux-linkage within the range from 50％to 200％of the nominal values.Moreover,it can reduce the static error of the d1-q1 axis current and improve the system robustness against parameter uncertainties.
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