Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
Low Sensitive Position Control System Using Hierarchical-Learning Control
Takuya KAMANOTakayuki SUZUKIHironobu HARADAKazuo YAMABOSHI
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1989 Volume 2 Issue 9 Pages 306-312

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Abstract

In this paper, a low sensitive position control system driven by a dc servo motor using a learning identifier is proposed. The low sensitive position control system is designed for the change of moment of inertia and the learning identifier is used to make up the inverse system of the low sensitive system. The responses of the system are investigated experimentally. Moreover, these responses are compared with the responses of a proportional position control system using the learning identifier.
As a result, it is confirmed that the responses of the proposed system are significantly improved by the learning identifier and have low sensitivity for the large change of moment of inertia about fourteen times as large as that of the motor itself. Therefore, the proposed system has a good responsibility for the change of moment of inertia without re-learning.

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