Model Reference Adaptive Control using Delta-operator with Neural Network for Pneumatic Servo System

Masaru Sakamoto; Tadashi Matsushita; Yoshiki Mizukami; Kanya Tanaka

doi:10.11499/sicep.2002.0.165.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.165.0

会議情報

主催: The Society of Instrument and Control Engineers

共催: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

Model Reference Adaptive Control using Delta-operator with Neural Network for Pneumatic Servo System

Masaru Sakamoto, Tadashi Matsushita, Yoshiki Mizukami, Kanya Tanaka

著者情報

キーワード: Pneumatic servo system, Model Reference Adaptive Control, Neural Network, non-linear, delta-operator

会議録・要旨集フリー

p. 165

詳細

抄録

Pneumatic servo systems have non-linear elements essentially caused by air compressibility, various frictions and so on. Therefore it is difficult to accomplish satisfactory control performance by conventional adaptive control. In this paper we propose a design scheme which combine a Model Reference adaptive Control using delta-operator with Neural Network for pneumatic servo system to overcome the influence of non-linearity.

責任著者(Corresponding author)

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