Abstract
A novel control strategy of permanent magnet synchronous motor (PMSM) drive systems is proposed. Based on radial basis function neural network (RBFNN) and direct model reference adaptive control (MRAC), the grid-side controller is designed to regulate output direct current (DC) bus voltage. The coordination control combined sliding model control (SMC) based on signal and port-controlled Hamiltonian (PCH) control based on energy is used to motor-side and achieves the fast speed tracking control and the real-time energy optimization. The controllers based on regenerative braking ensure that the motor can run in four quadrant, energy is bidirectional flow, and the DC bus voltage is controllable. The simulation results demonstrate the validity of the strategy.
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