遺伝的アルゴリズムにより最適化される空気圧サーボ系のためのファジィコントローラ : ファジィルールの前件部,後件部を同時に最適化した場合(機械力学,計測,自動制御)

概要

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A pneumatic servo-system has essentially non-linear elements such an compressibility of air, friction between cylinder and piston. The control scheme with fuzzy inference is effective for such non-linear plants. However, fuzzy rules in the fuzzy controller should be adjusted optimally to realize excellent control performance. On the other hand, the genetic algorithm can easily obtain the optimum solution in optimum problems. In this paper, we propose a fuzzy control for the vertical type pneumatic servo system in which the antecedent clause and consequent clause in the fuzzy controller are optimized by the genetic algorithm. In this method, it is possible to realize excellent control performance, because the antecedent clause and consequent clause in the fuzzy controller are optimized simultaneously. Further, the effectiveness of the optimized scheme was confirmed by experiments using the existent vertical type pneumatic servo-system.
社団法人日本機械学会の論文
2004-03-25