Title :
Fuzzy adaptive modelling for the flux linkage of a switched reluctance motor
Author :
Zhao Liu ; Shengjie Jiao ; Min Ye
Author_Institution :
Nat. Eng. Lab. for Highway Maintenance Equip., Chang´an Univ., Xi´an, China
fDate :
Aug. 31 2014-Sept. 3 2014
Abstract :
To decrease the torque ripple, the direct torque control for a 8/6 switched reluctance motor (SRM) are presented by borrowing the idea from an induction motor. The four-order orthogonal transformation matrix of the flux linkage of a SRM is derived step by step based on energy conservation principle. The relation between the spatial flux linkage and the voltage vector is analyzed, and the switching table of the voltage vector is designed. A simulation study are carried out both for the fuzzy adaptive model and the traditional linear model. The simulated results showed that direct torque control based on fuzzy T-S model is superior to traditional linear model, in that the velocity is more stable and the torque is more precise.
Keywords :
fuzzy control; machine control; model reference adaptive control systems; reluctance motors; torque control; direct torque control; energy conservation; four order orthogonal transformation matrix; fuzzy T-S model; fuzzy adaptive model; induction motor; linear model; spatial flux linkage; switched reluctance motor; torque ripple; voltage vector; Couplings; Mathematical model; Reluctance motors; Switches; Torque; Vectors; Windings; electric vehicle; flux linkage; fuzzy adaptive modelling; orthogonal transform;
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
DOI :
10.1109/ITEC-AP.2014.6941221