| Title |
Efficiency Optimization Control of IPMSM using Neural Network |
| Authors |
Jung-Sik Choi ; Jae-Sub Ko ; Dong-Hwa Chung |
| Keywords |
IPMSM drive ; Efficiency optimization control ; Neural network ; EBPA ; Armature resistance ; d-axis inductance |
| Abstract |
Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications and so on, due to their excellent power to weight ratio. To obtain maximum efficiency in these applications, this paper proposes the neural network control method. The controllable electrical loss which consists of the copper loss and the iron loss can be minimized by the error back propagation algorithm(EBPA) of neural network. The minimization of loss is possible to realize efficiency optimization control for the IPMSM drive. This paper proposes high performance and robust control through a real time calculation of parameter variation such as variation of back emf constant, armature resistance and d-axis inductance about the motor operation. Proposed algorithm is applied IPMSM drive system, prove validity through analysis operating characteristics controlled by efficiency optimization control. |