Title :
Adaptive model predictive current control for DSSRM drives
Author :
Xin Li ; Shamsi, Pourya
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
Abstract :
This paper presents a new current control method for Double-Stator Switched Reluctance Motor (DSSRM) Drives. The proposed current controller is based on Model Predictive Control (MPC) strategy. Moreover, an adaptive estimator is incorporated to follow the inductance variations in a DSSRM. After the introduction of the control method, the proposed controller is validated using simulations. Experimental results will be provided to evaluate the performance improvement.
Keywords :
adaptive control; electric current control; inductance; predictive control; reluctance motor drives; stators; DSSRM drives; MPC strategy; adaptive estimator; adaptive model predictive current control method; double stator switched reluctance motor drives; inductance variations; Adaptation models; Current control; Decision support systems; Inductance; Reluctance motors; Switches;
Conference_Titel :
Transportation Electrification Conference and Expo (ITEC), 2014 IEEE
Conference_Location :
Dearborn, MI
DOI :
10.1109/ITEC.2014.6861827
