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Fuzzy controller design for inertially stabilised platform

Published on May 2012 by Anjna Kothari Gaur, Rajesh Kumar
National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
Foundation of Computer Science USA
NCFAAIIA - Number 2
May 2012
Authors: Anjna Kothari Gaur, Rajesh Kumar
050795e4-0b3e-4465-85f4-846cf5c32fa5

Anjna Kothari Gaur, Rajesh Kumar . Fuzzy controller design for inertially stabilised platform. National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012. NCFAAIIA, 2 (May 2012), 5-10.

@article{
author = { Anjna Kothari Gaur, Rajesh Kumar },
title = { Fuzzy controller design for inertially stabilised platform },
journal = { National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012 },
issue_date = { May 2012 },
volume = { NCFAAIIA },
number = { 2 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 5-10 },
numpages = 6,
url = { /proceedings/ncfaaiia/number2/6732-1011/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
%A Anjna Kothari Gaur
%A Rajesh Kumar
%T Fuzzy controller design for inertially stabilised platform
%J National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
%@ 0975-8887
%V NCFAAIIA
%N 2
%P 5-10
%D 2012
%I International Journal of Computer Applications
Abstract

Conventional controllers have been used for controlling the optoelectrical tracking system placed in a moving carrier, carrier is continuously moving hence there are vibrations, and the object of control system is to keep the line of sight of the tracking system stable towards the target in an unstable environment. In this paper an approach is made to design a Fuzzy knowledge base controller for this system. Nonlinearities like dead band and saturation are considered. Noise signal is also added as external disturbance. Matlab Simulation is performed and performance of controller is evaluated on the basis of control output for step command and the control output for disturbance attenuation.

References
  1. . M. Hilkert,"Inertially stabilized platform technology, concept and principles", IEEE control systems magazine,February 2008.
  2. J. A. R. Krishna Moorty, Rajeev Marathe, Hari Babu, "Fuzzy controller for line of sight stabilization system", Journal of optical engineering, volume43, no6. june2004 pp. 127.
  3. M. K. Masten, "Inertially stabilized platform for optical imaging system",IEEE control system magazine,February2008 pp. 47 to64.
  4. H. G. Wang, Thomas C. Villiam, "Strategic inertial navigation system",IEEE control system magazine,February 2008,pp. 65to85.
  5. T. J. Ross, " Fuzzy Logic with Engineering Applications", McGraw-Hill,New York1995
Index Terms

Computer Science
Information Sciences

Keywords

Gyro Gimbal Isp And Fuzzy Logic