Airship Positioning Fuzzy Multi-Ballonet Control Study

Paper #:
  • 2014-01-2146

Published:
  • 2014-09-16
Citation:
Neydorf, R., Novikov, S., and Kudinov, N., "Airship Positioning Fuzzy Multi-Ballonet Control Study," SAE Technical Paper 2014-01-2146, 2014, https://doi.org/10.4271/2014-01-2146.
Pages:
8
Abstract:
Airship designers research application versions of systems with several ballonets for adjustment of airship roll and/or pitch as a whole. This requires effective automatic status management of each separate ballonet. But multi-ballonet system control issue encounters the absence of industrially measurable variables of each separate ballonet status. Thus status control issue of the system becomes uncertain. The fact requires the issue studying and shaping new scientific and technical solutions.This publication represents research results implying that fairly simple implementation and effective result can be achieved by application of fuzzy control concept. Its application is built on generating the representative quantity of fuzzy production rules. They are based on present set evaluation of known parameters and measured variables. This results in fuzzy but meaningful image of ballonet system status and airship as a whole. Thus achieving fairly good control over multi-ballonet system.This article represents development results of fuzzy automatic control system version of two-ballonet system containing determined positional control systems of pressure difference between body gas environment and atmosphere. The resulted hybrid control system maintains necessary pressure in airship body and provides airship trim control efficiency at low traveling speed. Modes like that appear during take-off and landing.The development is based upon airship model with ballonet control system which adequacy has been checked by previous researches. This model was used to research and experimentally correct conditions and influence results of developed production rules on ballonet system status and airship as a whole. Control law fuzzy derivation procedure is demonstrated and explained.Described is simulation modeling diagram of fuzzy control hybrid system of two-ballonet system in Simulink environment and its computer testing results. Illustrated is airship positioning fuzzy control maintaining boost pressure in body to provide its specified rigidity.
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