Open AccessComputationally efficient multi‐step direct predictive torque control for surface‐mounted permanent magnet synchronous motor
Author(s) -
Xia Changliang,
Zhou Zhanqing,
Wang Zhiqiang,
Yan Yan,
Shi Tingna
Publication year - 2017
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/iet-epa.2016.0221
Subject(s) - model predictive control , control theory (sociology) , torque , process (computing) , computer science , trigonometric functions , inverter , voltage , logarithm , synchronous motor , exponential function , control engineering , engineering , control (management) , mathematics , artificial intelligence , mathematical analysis , physics , geometry , electrical engineering , thermodynamics , operating system
The multi‐step direct model predictive control (M‐DMPC) could reduce the switching frequency and improve the efficiency of the motor drive system while ensuring good steady and dynamic performance. However, the conventional M‐DMPC, which uses the exhaustive optimisation method is with exponential time complexity, so it is difficult to realise in a short sample period. This study proposes a multi‐step direct predictive torque control (M‐DPTC) algorithm for two‐level voltage source inverter fed surface‐mounted permanent magnet synchronous motor (SPMSM) drive system. In the proposed algorithm, first, in order to reduce computation time in multi‐step predictive process, a simplified multi‐step predictive model is established. Compared with the complex operations, like square root and trigonometric function used in the conventional predictive model, only look‐up table and addition operation are utilised in the proposed model for multistep prediction. Second, compared with the exhaustive searching method, the proposed optimisation method avoids the exploration of all possible switching sequences and has logarithmic time complexity. Combining the above two measures, the proposed M‐DPTC can be achieved in a relatively shorter sample period. Simulation and experimental results for a 6‐kW SPMSM are presented to validate the proposed algorithm.