Title :
A model predictive control strategy for dual induction motor drive system fed by five-leg inverter
Author :
Yang Mei ; Zichen Yi ; Zhengxi Li
Author_Institution :
Power Electron. & Motor Drive Eng. Center, North China Univ. of Technol., Beijing, China
Abstract :
Five-leg inverter is employed to feed dual induction motors for the cost-down of power devices and hardware circuits. In order to realize independent fast control for both induction motors, a model predictive control (MPC) strategy is developed in this paper. By using this strategy, the following state is predicted by using discrete-time models of the five-leg inverter and two induction motors. The switching state, which minimizes the cost function, is selected to be applied in the following sampling period. Simulation results show that the dual induction motor drive system has extremely good static and dynamic performances.
Keywords :
cost reduction; discrete time systems; induction motor drives; invertors; machine control; predictive control; MPC; cost function minimization; discrete-time models; dual induction motor drive system; five-leg inverter; hardware circuits; model predictive control strategy; power devices; sampling period; Cost function; Induction motors; Inverters; Motor drives; Rotors; Stators; Torque;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location :
Hangzhou
DOI :
10.1109/ICEMS.2014.7014003
