Anti-Disturbance Model Predictive Torque Control of High-Altitude Ventilator Induction Machine with Extend MTPA Operation

Abstract

This paper proposes anti-disturbance model predictive torque control (ADMPTC) of high-altitude ventilator induction machine with extended maximum torque per ampere (EMTPA) operation. Finite control set-mode predictive control (FCS-MPC) has become prevalent in recent years because of its intuitive concept and flexible ability to deal with nonlinearity and constraints of electrical drives, while belonging to open loop control strategy, FCS-MPC has static error due to load torque disturbance. In this paper, ADMPTC is proposed to compensate load torque disturbance using extended state observer. Due to high-altitude thin air, high-altitude ventilator induction machine operates at high-speed light-load state. In order to enhance the efficiency of high-ventilator induction machine, this paper proposes stator flux-based MTPA operation at constant torque mode, and then extends this concept to constant power mode, which is called EMTPA. Finally, the proposed algorithm in this paper is effectively verified by experiments, which is compared with traditional control approach.