Design of Fuzzy-Neural Controller for BLDC Motor Drives

摘要：

In this study, a robust fuzzy-neural control scheme for a BLDCM (BLDC motor) control system is proposed. The tuning laws of network-parameters are derived in the sense of Lyapunov theorem to guarantee the stability of BLDCM control system. The nominal model of BLDCM system was formulated from the experiment data. First, using numerical simulations to validate the concept of control approach and then implementing the proposed controller in a DSP TMS320F2812. The experiment results indicate that using the proposed control scheme for a BLDCM control system is feasible and effective.

关键词： fuzzy-neural control neural networks BLDC motor

作者: Pei-Chung Chen Chi-Ruei Chen

作者单位: Department of Mechanical Engineering Southern Taiwan University Tainan, Taiwan, ROC

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 849-853

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）