The Characteristics Evaluation of Stacked-Type Electrostatic Actuators by the Neural Network

  • Authors:

  • Masashi Kawaguchi;Katsuhisa Yamano;Kazuo Okuda;Takashi Jimbo;Naohiro Ishii

  • Affiliations:

  • Department of Electrical & Electronic Engineering, Suzuka National College of, Technology, Shiroko, Suzuka Mie 510-0294, Japan;Department of Electrical & Electronic Engineering, Suzuka National College of, Technology, Shiroko, Suzuka Mie 510-0294, Japan;Department of Electrical & Electronic Engineering, Suzuka National College of, Technology, Shiroko, Suzuka Mie 510-0294, Japan;Department of Environmental Technology and Urban Planning Graduate School of, Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, 466-8555, Japan;Department of Information Network Engineering, Aichi Institute of Technology, Yachigusa, Yagusa-cho, Toyota, 470-0356, Japan

  • Venue:
  • KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
  • Year:
  • 2007

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Abstract

We developed the electrostatic and layered actuator with the structure which alternately tucked 2 ribbons film electrode. The aim is for the application to the artificial muscle. We proposed the prediction system of spring characteristic which is beforehand estimated in order to develop the actuator efficiently. This system was almost completed as a system of the prediction. However, the prediction result is sometimes not suitable the practicable accuracy.