Open AccessAn improved finite‐state predictive torque control for switched reluctance motor drive
Author(s) -
Li Cunhe,
Wang Guofeng,
Li Yan,
Xu Aide
Publication year - 2018
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2017.0268
Subject(s) - switched reluctance motor , control theory (sociology) , torque , direct torque control , reluctance motor , torque motor , control (management) , state (computer science) , computer science , control engineering , engineering , induction motor , physics , electrical engineering , artificial intelligence , voltage , thermodynamics , algorithm
This study proposes an improved finite‐state predictive torque control (FS‐PTC) to minimise the torque ripples of switched reluctance motor (SRM) drive. Firstly, based on the accurate analytical method, a discrete time model is established for predicting the future states of SRM drive system. Secondly, to reduce the computational burden, a new switching table is constructed for the predictive controller by using the sector partition technique. Further, the torque ripple, copper losses, and average switching frequency are considered synchronously by using a multi‐objective cost function. As a result, the proposed FS‐PTC method not only can minimise the torque ripple but also can reduce effectively the copper losses and average switching frequency. Finally, the experimental results are carried out for a three phase 12/8 poles 1.5 kW SRM with the proposed control algorithm and the results are compared with conventional direct instantaneous torque control algorithm. These results demonstrate the effectiveness of the proposed method.