A Fuzzy Compensation Control System for Underwater Vehicle Based on Kalman Filter Predictor

Abstract:

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This paper presents a novel control system for underwater vehicle. The underwater vehicle is affected by the inevitable surge and measurement error when working. In order to achieve reliable and quick control characteristic, this paper realize the control system by fuzzy compensation based on Kalman predictor with iterative control response. With this predictor and the control error, the fuzzy controller calculates the control compensation, and then the underwater vehicle completes a fast response control. By the control simulation, the results show that the method is effective and feasible.

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Edited by:

Wu Fan

Pages:

580-583

DOI:

10.4028/www.scientific.net/AMR.383-390.580

Citation:

Z. J. Tang et al., "A Fuzzy Compensation Control System for Underwater Vehicle Based on Kalman Filter Predictor", Advanced Materials Research, Vols. 383-390, pp. 580-583, 2012

Online since:

November 2011

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Price:

$35.00

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