This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Airship Positioning Fuzzy Multi-Ballonet Control Study
Technical Paper
2014-01-2146
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
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.
Authors
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.Also In
References
- http://spot.colorado.edu/∼dziadeck/airship.html
- Neydorf , R. , Novikov , S. , Fedorenko , R. Tasks and control methods of airship multi-ballonet systems control proceedings of eight research and application conference “Advanced systems and control tasks” TTI SFU Taganrog 2013
- Zharinov A.V. , Chizhova N.T. Dinamika i aerodinamica dirizhablei (obzor po materialam otkrytoi inostrannoi pechati ONTI ZAGI 1990
- Novikov S.P. Means and performance capabilities of airship ballonet system determinated control proceedings of ninth research and application conference “Advanced systems and control tasks” TTI SFU Taganrog 2014
- Arie M.Ya. Airships Kiev 1986
- Melikhov A.N. Directed graphs and final automatic devices Moscow 1971
- Zadeh L.A. Toward a Theory of Fuzzy Systems// Aspect Network and System Theory. BЂ“ New York Rinehart and Winston 1971
- Zadeh LA The Calculus of Fuzzy If-Then Rules AI Expert 1992 7 23 27
- Neydorf , R. , Novikov , S. , and Fedorenko , R. Continuous-Positional Automatic Ballonet Control System for Airship SAE Int. J. Aerosp. 6 2 598 606 2013 10.4271/2013-01-2236
- Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic Lotfi A Zadeh Computer Science Division/Electronics Research Laboratory, Department of EECS, University of California Berkeley, CA 94720-1776, USA 1997
- Mamdani E.H. , Assilian S. An Experiment in Linguistic Synthesis with Fuzzy Logic Controller Int. J. Man-Machine Studies 1975 7 1 1 13