High Performance Control of Reluctance Synchronous Motor with Direct Torque Control

다국어 초록 (Multilingual Abstract)

This paper presents an implementation of efficiency optimization of reluctance syuchronons motor (RSM) using a neural network with a direct torque control. The eqnipment circuit in RSM which consider with iron losses is theoretically analyzed and the optimal current ration between torque current and exiting current analytically derived. For RSM, torqne dynamics can be maintained even with controlling the flux level because a torque is directly proportional to the stator current unlike induction motor. In order to drive RSM at maximum efficiency and good dynamics response, the neural network is used and to achieve complex control algorithms, the TMS320F2812 board is employed as control drivers. The experimental results are presented to validate the applicability of the proposed method. The developed control system show high efficiency and good dynamic response features with 1.0 [kW] RSM having 2.57 ratio of d/q.

목차 (Table of Contents)

• Abstract
  
• Ⅰ. INTRODUCTION
  
• Ⅱ. RELUCTANCE SYNCHRONOUS MOTOR
  
• Ⅲ. OPTIMAL EFFICIENCY CONTROL
  
• Ⅳ. DIRECT TORQUE CONTROL OF RSM
  
• Ⅴ. SYSTEM CONFIGURATION
  
• Ⅵ. EXPERIMENTAL RESULTS
  
• Ⅶ. CONCLUTIONS
  
• REFERENCE