Fuzzy in control

Fuzzy in control Examines the problems of applying fuzzy logic to control applications where each application is different from the previous one and looks at the development of a unique system of fuzzy logic based on an existing software package. The system comes in two alternative forms; the first is a fully configurable fuzzy set for the OEM designer which, for example, could be used to control the temperature of a large oven and the second reduces the fuzzy function down to the most basic level where no process knowledge is required. Describes the tests carried out in order to determine the linguistic variables which apply to general control applications. Concludes that fuzzy logic begins to take effect in those situation to which normal control algorithms PD, PID functions have difficulty adjusting. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Sensor Review Emerald Publishing

Fuzzy in control

Sensor Review, Volume 14 (3): 3 – Sep 1, 1994

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Publisher
Emerald Publishing
Copyright
Copyright © 1994 MCB UP Ltd. All rights reserved.
ISSN
0260-2288
DOI
10.1108/EUM0000000004236
Publisher site
See Article on Publisher Site

Abstract

Examines the problems of applying fuzzy logic to control applications where each application is different from the previous one and looks at the development of a unique system of fuzzy logic based on an existing software package. The system comes in two alternative forms; the first is a fully configurable fuzzy set for the OEM designer which, for example, could be used to control the temperature of a large oven and the second reduces the fuzzy function down to the most basic level where no process knowledge is required. Describes the tests carried out in order to determine the linguistic variables which apply to general control applications. Concludes that fuzzy logic begins to take effect in those situation to which normal control algorithms PD, PID functions have difficulty adjusting.

Journal

Sensor ReviewEmerald Publishing

Published: Sep 1, 1994

Keywords: Fuzzy logic; Control systems

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