Transactions of The Japan Hydraulics & Pneumatics Society
Online ISSN : 2185-5293
Print ISSN : 1343-4616
ISSN-L : 1343-4616
Self-tuning Fuzzy Control of an Electro-hydraulic Servo System
2nd Report, Self-tuning by Neural Network
Ping YUHironao YAMADATakayoshi MUTO
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JOURNAL FREE ACCESS

1998 Volume 29 Issue 2 Pages 39-45

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Abstract
Recently, the fuzzy control algorithm is frequently applied to various kinds of systems due to its simple algorithm, good adaptability to complex and nonlinear systems, etc. One of the problems when applying the fuzzy control algorithm is the tuning method of fuzzy control parameters for obtaining the optimum conditions. This study deals with a neuro self-tuning fuzzy controller (NSFC) applied to an electro-hydraulic servo system. The NSFC has a hierarchical structure consisting of a fuzzy algorithm being identical to the fuzzy controller at the lower loop, and a neural networek algorithm being adopted for constructing the neuro self-tuner at the upper loop. The whole procedure of NSFC was repeatedly performed by tuning input and output gains of the fuzzy controller with the neuro self-tunner, until an acceptable control level was achieved. The basic functions of NSFC can be summarized as follows : (a) to provide appropriate control action while evaluating the performance, (b) to modify the control action based on this evaluation.
It could be verified by experiment and digital simulation that the NSFC developed in this study was useful and effective for the control of an electro-hydraulic servo system.
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