یکی از مهمترین مباحث در عملکرد پروازی، تعیین حداکثر میزان توانایی وسایل پرنده برای انجام ماموریتهای محوله است. هدف تحقیق حاضر، استفاده حداکثری از توانمندی های آیرودینامیکی و پیشرانشی یک ربات پرنده است. برای این منظور، مساله عملکرد پروازی بهینه در کلیه فازهای پروازی یک پروفیل ماموریتی مطرح شده است. با ترکیب یک الگوریتم بهینه سازی ابتکاری چندمعیاری با روشهای بهینه سازی مقید، همه فازهای یک پروفیل ماموریتی نوعی بهینه سازی شده است. مهمترین مزیت این روش این است که تاریخچه بهینه کلیه متغیرهای وضعیت، مسیر پروازی بهینه و میزان سوخت مورد نیاز برای انجام ماموریت را به دست میدهد.
Malaek, S. M. B., Bagherzade Shahri, S. A., Asadi, F., “Optimizing the Climb Trajectory of Airplanes Formation Flight using Genetic Algorithm”, 8th International Conference of Iranian Aerospace Society, Malelk Ashtar University of Technology, Tehran, Iran, 2009 (In Persian).
Weeks, A. “Interplanetary Trajectory Optimization using a Genetic Algorithm”, Technical Report, Pennsylvania State University, Aerospace Engineering department, PA 16801.
Yang, Z., Fang, J., Qi, Z. “Flight Midcourse Guidance Control Based On Genetic Algorithm”, GECCO '05 Proceedings of the 7th Annual Conference on Genetic and Evolutionary Computation, PP. 1501-1506, Washington DC, USA, 25 - 29, 2005.
Malaek, S. M. B., Nabavi, S. Y., “A general approach for airplanes optimal landing in a controlled airport, 7th Conference of Iranian Aerospace Society, Sharif University of Technology, Tehran, Iran, 2008 (In Persian).
Malaek, S. M. B., Khaiat, A. A., Karimian S., “Finding the optimum three dimensional trajectories for civil airplane during the climb and time restricted-turn phases, 13th International Conference of Mechanics, Isfahan University of Technology, Isfahan, Iran, 2006 (In Persian).
Chen, X., Wang, X. Zhou, J. “UAV Flight Performance Optimization based on Restart PRP Conjugate Gradient Method”, International Conference on Industrial Control and Electronics Engineering, Xi'an, China, PP. 867-870, 2012.
Xie, R. and Wang, X., Wang, X. and Wei, H. “UAV Flight Performance Optimization Based on Improved Particle Swarm Algorithm”, International Conference on Intelligent Robotics and Applications, School of Automation, Northwestern Polytechnical University, Shanghai, China, PP. 396-403, 2010.
Karimi J, Pourtakdoust SH, Nobahari H, Trim and Meneuverability Analysis of a UAV Using a New Constrained PSO Approach, Journal of Aerospace Science and Technology (JAST), Iranian aerospace society, Vol. 8(1), pp. 1-12, 2011.
Buttazo G., Frediani, A., “Variational analysis and aerospace engineering”, Proceeding of Springer Optimization and its applications, Vol. 33, pp. 21-32, 2009.
Jamilnia, R., Naghasg, A., Mortazavi, M., “Optimizing the terrain following trajcroty using the differntial flatness and B-spline curves, 10th Conference of Irannian Aerospace Society, Tarbiat Modares University, Tehran, Iran, 2011 (In Persian).
Kim, S., Kim, Y. “Three Dimensional Optimum Controller for Multiple UAV Formation Flight Using Behavior-based Decentralized Approach”, International Conference on Control, Automation and Systems, Seoul, Korea, 2007.
Pontani1, M. B. Conway, A. “Optimal Trajectories of Anti-satellite Missiles”, Communications to SIMAI Congress Journal, ISSN 1827-9015, Vol. 3, 2009.
Saghafi, F., Tofighzade, M., “Modeling and optimizing the transition flight phase of a tail seating propeller plant’, 7th Conference of Iranian Aerospace Society, Sharif University of Technology, Tehran, Iran, 2008 (In Persian).
Dehghanzade, M., “Cruise missile optimal trajectory design to reach the maximum range’, 9th Conference of Iranian Aerospace Society, Science and Research Branch, Azad Islamic University, Tehran, Iran 2010 (In Persian).
Jamilnia, R., Naghasg, A.,” Integrated optimization of staging and trajectory for lauched vehicles” 8th International Conference of Iranian Aerospace Society, Malek Ashtar University of Technology, Tehran, Iran, 2009 (In Persian).
Mardani, M., Moaied M., “The best way to launch satellites into orbit using the tangent linear law”, Sharif Science-Research Journal, NO. 23 (38), PP. 75-80, 2008 (In Persian).
Hyunseok L, Hyungjoon L., Einkeun K. and Seungsoo L., Seungho B., Development of Aircraft Mission Performance Analysis Program, International Journal of Aeronautical & Space Science, Vol. 14(2), pp. 162-171, 2013.
Thi-Kien D., T., Jeng-Shyang P., Tien-Szu P., Trong-The N., Optimal path planning for motion robots based on bees pollen optimization algorithm, Journal of Information and Telecommunication, Vol. 1(4), pp. 351-366, 2017.
Karimi J., Pourtakdoust S. H., A Real-Time Algorithm for Variable-Objective Motion Planning over Terrain and Threats, Proceedings of the IMechE, Part G- Journal of Aerospace Engineering , Vol. 229(6), 2015 .
Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, T. Meyarivan, “A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II”, IEEE Transactions on Evolutionary Computation, Vol. 6, NO. 2, PP. 182-197, 2002.
Sadraee, M. H., “Flight mechanics”, Imam Hussein University Publications, Tehran, 1999 (In Persian).
Karimi, J., Pourtakdoust, S. H., “Designing the optimal maneuvers for unmanned aerial vehicles using constrained heuristic optimization algorithms”, 9th Conference of Iranian Aerospace Society, Science and Research Branch, Azad Islamic University, Tehran, Iran, 2010 (In Persian).
MirzaAli, H., “Multi-objective optimization of mission profile for unmanned aerial vehicle”, Master of Science Thesis, Malek Ashtar University of Technology, Tehran 2016 (In Persian).