Journal of Aeronautical Engineering

Journal of Aeronautical Engineering

Multi-Objective Optimization of Conventional Airplane Vertical Tail and Rudder

Document Type : Original Article

Authors
Jalal Karimi 1
Mohsen Chegeni 2
1 Assistant Professor of Aerospace University Complex, Malek Ashtar University of Technology
2 PhD student, Malek Ashtar University of Technology
Abstract
In the present article, with the aim to upgrading operational capabilities of existing flying vehicles, a method is proposed to simultaneously optimize the vertical tail and rudder of a conventional airplane. To this end, all the design requirements of this important part of the configuration have been formulated in the context of a constrained multi-objective optimization problem. The ability to calculate aerodynamic coefficients and mass parameters have been created, when airplane geometry is varying. In this way, for sensitivity purposes, the effect of the geometric parameters of the configuration on the flying qualities and performance characteristics of the airplane can be obtained. Also, in optimization purposes, one part of the configuration can be optimized, while the reciprocal effects of all the configuration components is taken into account. The problem is solved by combining the non-dominated sorting genetic algorithm with the feasibility tournament approach.
Keywords
Vertical tail and rudder
flying quality
Dynamic stability
Spin recovery
Trim ability
multi-objective optimization
[1]. Raymer, D., “Enhancing aircraft conceptual design using multi- disciplinary optimization”, PhD Thesis, Department of Aeronautics, Royal Institute of Technology, Stockholm, 2002.
[2]. Malone, B., Mason, W., “Multidisciplinary optimization in aircraft design using analytic technology models”, Journal of Aircraft, Vol. 32, No. 2, pp. 431-438, 1995.
[3]. Anderson M., Mason W., “An MDO approach to control-configured-vehicle design”, Proceedings of 6th Symposium on Multidisciplinary Analysis and Optimization, Bellevue: AIAA, pp. 1-10, 1996.
[4]. Cavalcanti, J., Mattos, B., Paglione, P., “Optimal Conceptual Design of Transport Aircraft”, Proceedings of 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Virginia: AIAA, pp. 1-22, 2006.
[5]. Cavagna, L., Riccobene, L., Ricci, S., Bérard, A., Rizzi, A., “A fast MDO tool for aero-elastic optimization in aircraft conceptual design”, Proceedings of 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, British Columbia: AIAA, pp. 1-17, 2008.
[6]. Roshanian, J., Bataleblu, A. A., Farghadani , M. H., Ebrahimi, B., “Multi-Objective Multidisciplinary Design Optimization of a General Aviation Aircraft”, Modares Mechanical Engineering, Vol. 17, No. 2, pp. 199-210, 2017 (in Persian).
[7]. Roskam, J., “Airplane flight dynamics and automatic flight control”, Part1, Roskam Aviation and Engineering Corporation, 1979.
[8]. Hoak, D. E., Ellison, D. E., “USAF stability and control Datcom”, Air force flight dynamics lab, Wright-Patterson AFB, OH, 1968.
[9]. Nelson R., “Flight stability and automatic control”, MC Graw-Hill, Inc., 1989.
[10].Stevens, B. L., Lewis, F. L., “Aircraft control and simulation”, John Wiley and Sons Inc., 1992.
[11].Karimi, J. Pourtakdoust, S. H., Nobahari, H., “Trim and maneuverability analysis using a new constrained PSO approach of a UAV”, Journal of Aerospace Science and Technology (JAST), 2011.
[12].Chong, E. K. P., Zak, S. H., “An introduction to optimization”, 2nd edition, Wiley, 2001.
[13].MIL-F-8785C, “Military Specifications, Flying Qualities of Pilot Airplanes”.
[14].Kulicki, P., Lasek, M., “Evaluation of light airplane performance in stall and spin- a surveyt”, Journal of Theoretical and Applied Mechanics, Vol. 3, No. 22, 1994.
[15].Roskam, J., “Airplane design”, Roskam Aviation and Engineering Corporation, Ottawa, Kansas, 1988.
[16].Mohammad H. Sadraey., “Aircraft Design”, 2013.
[17].Deb, K., Prstsp, A., Agarwal, S., Meyarivan, T., “A fast and elitist multiobjective genetic algorithm: NSGA-II”, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, pp. 182-197, 2002.
[18].Deb, K., “Multi-objective optimization using evolutionary algorithms”, John Wiley & Sons, 2001.
 [19 ]. کریمی جلال، پورتاکدوست سیدحسین،" کاربرد روش بھینھ سازی گروھی ذرات در برنامھ پذیری حرکت مانورپایھ پھپادھا"، نشریھ علمی پژوھشی مکانیک ھوافضا، دانشگاه امام حسین(ع)، جلد 12 ، شماره 1 ، صفحات 27- 21 1395. 
Journal of Aeronautical Engineering
Volume 21, Issue 1
June 2019
Pages 35-43

  • Receive Date 03 January 2021