Model predictive current control of surface‐mounted permanent magnet synchronous motor with low torque and current ripple

Abstract

Electromagnetic torque and stator flux of a permanent magnet synchronous motor (PMSM) can be controlled indirectly with model predictive current control (MPCC). In MPCC, a predefined cost function is minimised by selecting and applying appropriate voltage vectors to stator terminals. Since MPCC employs machine model to predict stator currents, it requires accurate knowledge of its parameters. Furthermore, MPCC results in high torque and current ripples at normal sampling rates. In this study, torque and current ripples of a surface-mounted PMSM are effectively reduced by incorporating the concept of duty cycle and applying two voltage vectors, instead of one voltage vector as in conventional MPCC, during a control period. A fuzzy logic modulator is designed and utilised to determine the duty cycles of voltage vectors. Furthermore, sensitivity of the proposed control strategy against parameter variations is alleviated by employing a full-order Luenberger observer. Various case studies are carried out on a hardware-in-the-loop setup and performance of the proposed method is compared with conventional and a recently introduced duty cycle-based predictive control. The obtained results verify the superiority of the proposed MPCC and its effectiveness in reducing the PMSM torque and current ripples with accurate and erroneous knowledge of motor parameters.

Disturbance‐deadbeat inductance observer‐based current predictive control for surface‐mounted permanent magnet synchronous motors drives

“…Then, substituting (16) into the second equation of (6), the disturbance prediction model can be obtained as…”

“…Parameter sensitivity of MPC is analysed in [13], which proves that inductance has the greatest influence on prediction accuracy and the impact caused by the resistance can be ignored. In addition, to deal with the simultaneous suppression problem of all motor parameter uncertainties, the authors in [14][15][16] design sliding-mode observers and a Luenberger observer to estimate the d-and q-axis parameter variations, respectively. On the other hand, the model-free MPC that does not require any motor parameters can also be adopted to solve the problem of multi-parameter uncertainties [17].…”

Direct torque control of a permanent magnet synchronous machine for hybrid hydraulic excavator

“…According to the current research progress on the control strategy for the PMSM, vector control is a popular method [18][19][20]. Bojoi et al [21] used a direct flux vector control for an axial flux interior PMSM in light traction application.…”

An Improved Model Predictive Torque Control for a Two-Level Inverter Fed Interior Permanent Magnet Synchronous Motor

“…The finite control set model predictive control (FCS-MPC) is adopted to the motor drive system with the development of a digital signal processor (DSP). This method can solve non-linear problems easily [11,12]. The model predictive torque control (MPTC) uses a mathematical model and cost function to replace the torque and flux hysteresis controller and look-up table, compared with the each control period of MPTC.…”