Fuzzy Logic in Spacecraft Design
This paper presents a method to automate the spacecraft preliminary design, by simulating the experts’ decisional processes making use of a dedicated Fuzzy Logic Inference Engine. The problem is faced with a multi-criteria decision-making approach and the human expertise is captured by a variable weight vector computed by dedicated fuzzy logic control blocks implemented with a Mamdani approach.
Uncertainty of the input parameters-implicit at the starting point of a sizing process- is translated into mathematical formulation through the interval algebra rules. Comparison between simulation results and already flown space systems shew the validity of the proposed method. The results are really encouraging as the method detects space system configurations defmitely similar to the real one, drastically reducing the time dedicated to the preliminary spacecraft design.
From a theoretic point of view the simulation results of the proposed method have been compared with a classic Pareto-optimal point detection to further validate them.
KeywordsFuzzy Logic Solar Panel Goal Function Rankine Cycle Fuzzy Logic Approach
Unable to display preview. Download preview PDF.
- 1.M.Bandecchi, Melton, F.Ongaro: Concurrent Engineering Applied to Space Mission Assessment and Design.In: ESA Bulletin 99, 1999Google Scholar
- 2.C.M.Fonseca, P.J.Fleming: An Overview of Evolutionary Algorithms in Multi-Objective Optimization. In: Evolutionary Computation, (Spring 1995) 3(1):1–16Google Scholar
- 3.R.R.Yager: Multiple Objective Decision-Making Using Fuzzy Sets. In: International Journal of Man-Machine Studies, (1977),nr. 9, 375–382Google Scholar
- 4.J.Lee, J.Kuo, W.Huang: Fuzzy Decision–Making through Relationships Analysis between Criteria. IEEE, 0–7803–3687–9/96Google Scholar
- 5.U.Kaymak H.R.Yan Nauta Lemke: A Parametric Generalized Goal Function for Fuzzy Decision Making with Unequally Weighted Objectives. 0–7803–0614–7/1993 IEEEGoogle Scholar
- 6.A.Fukunaga, S.Chien,D.Mutz: Automating the Process of Optimization in Spacecraft Design. (1996) Jet propulsion Laboratory, California Institute of TechnologyGoogle Scholar
- 7.T.Mosher: Spacecraft Design Using a Genetic Algorithm Optimization Approach. 0–7803–4311–5/1998, IEEEGoogle Scholar
- 8.T.L.Hardy: Fuzzy Logic Approaches to Multi-Objective Decision-Making in Aerospace Applications. In: Proceedings of 30th AIAA/ASME/SAE/ASEE joint Propulsion Conference, Indianapolis-IN (June 27–29, 1994 )Google Scholar
- 10.G.J.Klir, B.Yuan: Fuzzy Sets and Fuzzy Logic. Prentice Hall PTR,New Jersey (1995)Google Scholar
- 11.H.Eschenauer J.Koski A. Osyczka: Multi-criteria Design Optimization. Springer-Verlag (1990)Google Scholar
- 12.M.Lavagna, A.E.Finzi: Multi-criteria Design Optimization of a Space Syestem with a Fuzzy Logic Approach. In: Proceedings of the 42nd AIAA/ASME/ASCE/AHS/ASC Conference, Seattle-WA (1619/04/2001)Google Scholar
- 13.R.B.Kearfott: Interval Computation: Introduction, Uses,and Resources. http://cs.utep. edu/interval-comp/main.html
- 14.M.Lavagna,A.E.Finzi: Multi-Criteria Optimization for Space Mission Design: a New Approach. In: Proceedings of the i-Sairas Conference Montreal-CA (18–21/06/2001)Google Scholar
- 15.T.L.Saaty: A Scaling Method for Priorities in Hierarchical Structures. In: Journal of Mathematical Psychology (1977) 15(3), 234–281Google Scholar
- 16.R.X.Meyer: Elements of Space Technologies. Dept. Of Mechanical and Aerospace Engineering, University of California, Los Angeles(1999)Google Scholar