single-rb.php

JRM Vol.6 No.1 pp. 92-97
doi: 10.20965/jrm.1994.p0092
(1994)

Development Report:

Prediction Effect on Manual Control of an Unstable System

Shigehiro Masui, Toshiro Terano* and Yoshimasa Sugaya**

Hosei University, 3-7-2, Kajino-cho, Koganei-shi, Tokyo, 184 Japan

*Tokyo Institute of Technology, 2-12-1 Ohokayama, Meguro-ku, Tokyo, 152 Japan

**Shimizu Corp., 1-2-3, Shibaura, Minato-ku, Tokyo, 105-07 Japan

Received:
December 10, 1993
Accepted:
December 20, 1993
Published:
February 20, 1994
Keywords:
Manual control of unstable systems, Interface, Effect of prediction displays
Abstract
The study of human behavior in manual control systems is reevaluated in relation to fuzzy control. Human behavior in this problem means not only physical action but also thinking processes such as cognition, reasoning, optimization decision, and learning. The human performance of this kind is related to the interface. In this paper, we investigate experimentally the effects of an interface on the manual control of a double inverted pendulum. This system is suitable to the study of human behavior, because the stability is changed sensitively with the skills of the subjects and also with the quality of the interface. Besides the general performance of the interface, the effect of prediction is experimented in detail. Then we get some qualitative and quantitative results regarding the prediction interval, the gain constants of manipulation and display, and the prediction error. These results are well explained by a hypothesis of human skillfulness suggested in brain physiology, that is, an action-model is formed in cerebellum after practice and then human action becomes more accurate and quick because of feedforward action by this model.
Cite this article as:
S. Masui, T. Terano, and Y. Sugaya, “Prediction Effect on Manual Control of an Unstable System,” J. Robot. Mechatron., Vol.6 No.1, pp. 92-97, 1994.
Data files:

Creative Commons License  This article is published under a Creative Commons Attribution 4.0 International License.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Dec. 02, 2024