Fast Response Predictive Controllers for Mono-Inverter Dual Parallel Permanent Magnet Synchronous

The method of Mono-Inverter Dual-Parallel motors has been noticed in the drive of the multi-motor systems in order to reduce the number of power electronic devices as well as the volume, weight, and cost of the drive system. The load torque imbalance in motors has been one of the main problems of these systems because of feeding the motors by a single inverter. Some control methods have also been proposed in this field and studies are ongoing. This paper deals with an effective Model Predictive Control (MPC) method for the design of speed and current controllers in MIDP motors. Pontryagin’s Maximum Principle and the Lagrange method are used in designing the current and speed controllers respectively. The current controller generates control signals as linear-parametric functions through the offline solving of the quadratic-linear cost function. Instead of using conventional PI controllers in the speed control loop, speed controllers are designed based on the regulating kinetic energy of motors. After driving and simplifying the mathematical equations, the proposed method is simulated. Simulation results are compared with the Finite Control Set-MPC. These results validate the prompt and accurate performance of proposed controllers in transient and steady states.