Self-organizing fuzzy sliding-mode control for a voice coil motor
學年 103
學期 2
發表日期 2015-04-09
作品名稱 Self-organizing fuzzy sliding-mode control for a voice coil motor
作品名稱(其他語言)
著者 許駿飛; Kai-Yi Wong
作品所屬單位
出版者
會議名稱 12th IEEE International Conference on Networking, Sensing and Control
會議地點 Taipei, Taiwan
摘要 Voice coil motor (VCM) is widely known as its topquality of free friction, low noise, fast transient response and well repeatability. Yet the dynamic characteristic of a VCM is nonlinear and time-varying, thus the model-based conventional controller is difficult to achieve high-precision control performance for a VCM. To attack this problem, a selforganizing fuzzy sliding-mode control (SFSC) system is proposed in this paper. All of the fuzzy rules are online grown and pruned by the structure learning phase and the parameter learning phase is designed to tune the controller parameter in the gradient-descent-learning algorithm. From the experiment results, it shows that the proposed SFSC system can successfully control a VCM with favorable control response with enhanced disturbance rejection performance.
關鍵字 fuzzy control;gradient methods;learning (artificial intelligence);self-adjusting systems;variable structure systems
語言 en_US
收錄於
會議性質 國際
校內研討會地點
研討會時間 20150409~20150411
通訊作者
國別 TWN
公開徵稿 Y
出版型式 紙本
出處 12th IEEE International Conference on Networking, Sensing and Control, pp.287-292
相關連結

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