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Intelligent Unmanned New Aerial Vehicles for Rescue Mission Based on a Novel Optimal Control and Imperialist Competition Algorithm (ICA)

Received: 25 February 2017    Accepted: 24 March 2017    Published: 10 April 2017
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Abstract

In this paper, new aerial vehicle is proposed for rescue mission. This new and developed aerial vehicle can be named as Samarai Mono-Copter (SMC) with especial and novel design. The mission is considered as mountain rescue operation to show the ability of SMC vehicle about life saving. SMC can be used widely in the many field of human life such as accident, earthquake, military injuries and many other missions about human life and lifesaving.

DOI 10.11648/j.mlr.20170203.13
Published in Machine Learning Research (Volume 2, Issue 3, September 2017)
Page(s) 99-104
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Intelligent Unmanned Vehicles, ICA, Human Life, Samarai Mono-Copter (SMC), Optimal Control

References
[1] Miller, S. A., Zachary A. H. and Chong, E. K. P., Coordinated Guidance of Autonomous UAVs via Nominal Belief-State Optimization, American Control Conference, Hyatt Regency Riverfront, USA, June 10-12, 2009.
[2] Han, S. C., and Bang, H., Proportional Navigation-Based Optimal Collision Avoidance for UAVs, 2nd International Conference on Autonomous Robots and Agents, Palmerston North, New Zealand, December 13-15, 2004.
[3] Ma, L., Stepanyan, V., Cao, C., and Faruque, I., Flight Test Bed for Visual Tracking of Small UAVs, AIAA Guidance, Navigation, and Control Conference and Exhibit, Keystone, Colorado, August 21-24 2006.
[4] Eng, P., Mejias, L., Liu, X. and Walker, R., Automating Human Thought Processes for a UAV Forced Landing, Intell Robot Syst J, 2010, (57), pp 329–349.
[5] Paw, C. Y., Balas, G. J., Development and application of an integrated framework for small UAV flight control development, Mechatronics J, 2011, (21), 789-802.
[6] Babaei, A. R., Mortazavi, M., and Moradi, M. H., Classical and fuzzy-genetic autopilot design for unmanned aerial vehicles, Applied Soft Computing J, 2011, (11), pp 365–372.
[7] http://www.navytimes.com/news/2011/08/ap-lockheed-unveils-maple-seed-like-drone-081111/
[8] Kellas, A., The guided samara: Design and development of controllable single-bladed auto rotating vehicle, MIT Master of Science thesis, 2007.
[9] S. Nazari, H. Eyvazi, R. Ghodsi, Solving the integrated product mix-outsourcing problem using the imperialist competition algorithm, Expert Syst. Appl. 37 (2010) 7615–7626.
[10] C. Lucas, Z. N. Gheidari, F. Tootoonchian, Application of imperialist competitive algorithm to the design of a linear induction motor, Energy Convers. Manag. 51 (2010) 1407–1411.
[11] A. Kaveh, S. Talataheri, Optimal design of skeletal structures using imperialist competition algorithm, Comput. Struct. 88 (2010) 1220–1229.
[12] H. Duan, Ch. Xu, S. Liu, Sh. Shao, Template mathing using chaotic imperialist competitive algorithm, Pattern Recognit. Lett. 31 (2010) 1868–1875.
[13] Bryson, A. E., Dynamic optimization, Addison-Wesley, Longman Inc, California, 1999.
Author Information
  • Department of Aerospace Engineering, K. N. Toosi, University of Technology, Tehran, Iran

  • Department of Mechanical Engineering, Islamic Azad University, Science & Research Branch, Tehran, Iran

  • Department of Aerospace Engineering, K. N. Toosi, University of Technology, Tehran, Iran

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  • APA Style

    Iman Shafieenejad, Ahmad Cheraghi, Mona Tafreshi. (2017). Intelligent Unmanned New Aerial Vehicles for Rescue Mission Based on a Novel Optimal Control and Imperialist Competition Algorithm (ICA). Machine Learning Research, 2(3), 99-104. https://doi.org/10.11648/j.mlr.20170203.13

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    ACS Style

    Iman Shafieenejad; Ahmad Cheraghi; Mona Tafreshi. Intelligent Unmanned New Aerial Vehicles for Rescue Mission Based on a Novel Optimal Control and Imperialist Competition Algorithm (ICA). Mach. Learn. Res. 2017, 2(3), 99-104. doi: 10.11648/j.mlr.20170203.13

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    AMA Style

    Iman Shafieenejad, Ahmad Cheraghi, Mona Tafreshi. Intelligent Unmanned New Aerial Vehicles for Rescue Mission Based on a Novel Optimal Control and Imperialist Competition Algorithm (ICA). Mach Learn Res. 2017;2(3):99-104. doi: 10.11648/j.mlr.20170203.13

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  • @article{10.11648/j.mlr.20170203.13,
      author = {Iman Shafieenejad and Ahmad Cheraghi and Mona Tafreshi},
      title = {Intelligent Unmanned New Aerial Vehicles for Rescue Mission Based on a Novel Optimal Control and Imperialist Competition Algorithm (ICA)},
      journal = {Machine Learning Research},
      volume = {2},
      number = {3},
      pages = {99-104},
      doi = {10.11648/j.mlr.20170203.13},
      url = {https://doi.org/10.11648/j.mlr.20170203.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.mlr.20170203.13},
      abstract = {In this paper, new aerial vehicle is proposed for rescue mission. This new and developed aerial vehicle can be named as Samarai Mono-Copter (SMC) with especial and novel design. The mission is considered as mountain rescue operation to show the ability of SMC vehicle about life saving. SMC can be used widely in the many field of human life such as accident, earthquake, military injuries and many other missions about human life and lifesaving.},
     year = {2017}
    }
    

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    T1  - Intelligent Unmanned New Aerial Vehicles for Rescue Mission Based on a Novel Optimal Control and Imperialist Competition Algorithm (ICA)
    AU  - Iman Shafieenejad
    AU  - Ahmad Cheraghi
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    AB  - In this paper, new aerial vehicle is proposed for rescue mission. This new and developed aerial vehicle can be named as Samarai Mono-Copter (SMC) with especial and novel design. The mission is considered as mountain rescue operation to show the ability of SMC vehicle about life saving. SMC can be used widely in the many field of human life such as accident, earthquake, military injuries and many other missions about human life and lifesaving.
    VL  - 2
    IS  - 3
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