Paper Title:
A Fuzzy Compensation Control System for Underwater Vehicle Based on Kalman Filter Predictor
  Abstract

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)
Chapter
Chapter 1: Computer-Aided Manufacturing
Edited by
Wu Fan
Pages
580-583
DOI
10.4028/www.scientific.net/AMR.383-390.580
Citation
Z. J. Tang, Y. Peng, J. Luo, "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
$32.00
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