Design of fuzzy neural network‐based robust gain scheduling controllers |
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Authors: | Yoshishige Sato |
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Affiliation: | Gifu University, Japan |
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Abstract: | This paper proposes a method of robust gain scheduling control design by intelligent control that uses a fuzzy neural network without a model. We create a system that is robust and capable of automatic gain control against the conventional fixed PID control system, design a neural network which learns inverse dynamics as feedforward compensation, along with a two‐degree‐of‐freedom control to perform feedback compensation, produce a control system which adaptively adjusts the gain according to changes of the target errors, and verify the effectiveness of the proposed method. © 2009 Wiley Periodicals, Inc. Electr Eng Jpn, 169(4): 21–28, 2009; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20820 |
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Keywords: | fuzzy neural network robust gain scheduling controller intelligent control |
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