Self-Learning Fuzzy Velocity Observer for DTC Servo Induction Motor Drives

摘要：

In modern servo control system, velocity observer design is particularly important to achieve high accuracy. In term of conventional observer depends on motor parameters and model accuracy; it is difficult to achieve high-precision velocity and position control. Using fuzzy control algorithm, this paper researched on DTC servo induction motor control. In order to overcome subjective of fuzzy rule, a self learning fuzzy logic is suggested in detail. Moreover, a DTC induction motor servo control simulation model is established, which adopts the self-learning fuzzy velocity observer proposed. Based on it, an experimental platform included Tl TMS320LF2407DSP combination with IPM is build. Experiment results show that the proposed observer can be well observed servo motor velocity.

关键词： Servo motor DTC self-learning fuzzy logic velocity observer

作者: Shufang Wang Jun Li Yinan Li Zhiyong Yang

作者单位: School of Mechanical Electronic Beijing Union University Beijing, China Astronautics Long March rocket technology Limiting Company Beijing, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 57-60

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）