文献类型：期刊文献

英文题名：Self-learning fuzzy velocity observer for DTC servo induction motor drives

作者：Wang, Shufang[1]; Li, Jun[1]; Li, Yinan[1]; Yang, Zhiyong[2]

第一作者：王淑芳

通讯作者：Wang, S.

机构：[1] School of Mechanical Electronic, Beijing Union University, Beijing, China; [2] Astronautics Long March Rocket Technology, Limiting Company, Beijing, China

第一机构：北京联合大学机器人学院

年份：2010

卷号：4

起止页码：V457-V460

外文期刊名：ICETC 2010 - 2010 2nd International Conference on Education Technology and Computer

收录：EI(收录号：20103513202549);Scopus(收录号：2-s2.0-77956082656)

语种：英文

外文关键词：Computer circuits - Electric drives - Fuzzy control - Fuzzy inference - Fuzzy logic - Induction motors - Pneumatic control equipment - Position control - Velocity

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 TI TMS320LF2407DSP combination with IPM is build. Experiment results show that the proposed observer can be well observed servo motor velocity. ? 2010 IEEE.