Particle swarm optimisation in efficiency improvement of vector controlled surface mounted permanent magnet synchronous motor drive. Issue 5 (1st May 2015)

• Record Type: Journal Article
• Authors: Sreejeth, Mini; Singh, Madhusudan; Kumar, Parmod
• Is Part Of: IET power electronics. Volume 8:Issue 5(2015)
• Page Start: 760
• Page End: 769
• Publication Date: 2015-05-01
• Subjects: particle swarm optimisation -- machine vector control -- surface mount technology -- permanent magnet motors -- synchronous motor drives -- stators -- torque -- air gaps -- magnetic flux -- sensitivity analysis -- electric current control; particle swarm optimisation -- vector controlled surface mounted permanent magnet synchronous motor drive -- efficiency improvement -- PMSM drive -- controllable electrical loss -- direct axis stator current control -- d‐axis stator current control -- load torque -- operation speed -- motor efficiency -- air gap flux -- core loss reduction -- light load condition -- efficiency optimisation algorithm -- parametric sensitivity analysis -- Matlab -- steady state operation -- transient operating condition -- constant speed variable; Power electronics -- Periodicals; 621.31705
• DOI: 10.1049/iet-pel.2014.0399
• Languages: English
• ISSNs: 1755-4535

Abstract

Abstract : Application of particle swarm optimisation (PSO) in efficiency optimisation of vector controlled surface mounted permanent magnet synchronous motor (PMSM) drive is presented in this study. Analytical expressions for the controllable electrical loss in PMSM are derived and optimised through control of direct axis ( d ‐axis) stator current, according to the desired speed of operation and load torque. The optimal value of d ‐axis current has been obtained through analytical method as well as through PSO. The motor efficiency is maximised by using the optimal d ‐axis current to minimise the air gap flux, resulting in reduction of the core losses, especially at light load conditions. The robustness of the efficiency optimisation algorithms are demonstrated through parametric sensitivity analysis. Implementations of efficiency optimisation algorithms are carried out in Matlab and the performance of PMSM drive is described under steady state as well as transient operating conditions. The effect of efficiency optimisation algorithms in different region of operation of PMSM such as constant speed‐variable load torque and constant torque–variable speed modes are described.