INT-09 CONTROL METHOD FOR PZT PIEZOELECTRIC ACTUATOR USING MULTI-LAYER NEURAL NETWORK INCLUDING FEEDBACK CONNECTION(Intelligent Machines III,Technical Program of Oral Presentations)
スポンサーリンク
概要
- 論文の詳細を見る
Since the relationship between applied voltage and displacement, which is caused by the voltage, shows a hysteresis loop in the bimorph piezoelectric element, we produce a control system for a piezoelectric actuator based on a multi-layer artificial neural network including feedback connections to compensate the hysteresis. After learning the hysteresis loops including the minor loops, the neural network simulates these hysteresis phenomena with very high accuracy. A series of verification tests was performed on a parallel type two-dimensional actuator composed of two bimorph piezoelectric elements and two small links connected by three joints. The network provided a voltage history for several sizes of circular trajectories in two-dimensional space.
- 一般社団法人日本機械学会の論文
- 2009-06-17
著者
-
Ohka Masahiro
Department Of Complex System Science Graduate School Of Information Science Nagoya University
-
ESUMI Kazuya
Department of Complex System Science, Graduate School of Information Science, Nagoya University
-
SAWAMOTO Yasuhiro
Molex Japan Co., Ltd.
-
Esumi Kazuya
Department Of Complex System Science Graduate School Of Information Science Nagoya University
-
Sawamoto Yasuhiro
Molex Japan Co. Ltd.
関連論文
- Tactile Expert System Using a Parallel-Fingered Hand Fitted with Three-Axis Tactile Sensors
- IM-06 FIGURE AND TEXTURE PRESENTATION CAPABILITIES OF TACTILE DISPLAYS FEATURING AN ARRAY OF STIMULUS PINS DRIVEN BY PIEZOELECTRIC BIMORPH ACTUATORS
- INT-09 CONTROL METHOD FOR PZT PIEZOELECTRIC ACTUATOR USING MULTI-LAYER NEURAL NETWORK INCLUDING FEEDBACK CONNECTION(Intelligent Machines III,Technical Program of Oral Presentations)
- INT-K INTELLIGENT TACTILE SENSING INSPIRED BY COMPLEX SYSTEMS SCIENCE(Intelligent Machines II,Technical Program of Oral Presentations)
- Two-Axial Piezoelectric Actuator Controller Using a Multi-Layer Artificial Neural Network Featuring Feedback Connection for Tactile Displays