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A TEP-Based Approach for Optimal Thrust Direction of Lunar Soft Landing

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 517))

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Abstract

Determination of optimal thrust direction or steering angle for lunar soft landing trajectory is attempted in this article. The problem is complex due to the presence of system constraints and local minima. An exhaustive search of optimal thrust direction incurs high computational costs. The problem was solved as an optimum initial value estimation problem. Taboo evolutionary programming (TEP) is utilized to compute the optimal estimates. The study gives the integration of TEP technique in solving the governing nonlinear differential equations where a control parameter involved. The results are compared with available results in literature and it shows that the solution based on TEP algorithm is comparable to the counterpart. Further, sensitivity of design parameters such as terminal altitude, true anomaly, and terminal velocity over the final landing mass at the touch down is also examined.

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Authors and Affiliations

  1. Department of Humanities & Mathematics, G. Narayanamma Institute of Technology & Science, Shaikpet, Hyderabad, 500104, Telangana, India

    Naveen Pragallapati & N. V. S. L. Narasimham

Authors
  1. Naveen Pragallapati
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  2. N. V. S. L. Narasimham
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Corresponding author

Correspondence to Naveen Pragallapati .

Editor information

Editors and Affiliations

  1. Department of Electrical and Electronics Engineering, SRM University, Chennai, Tamil Nadu, India

    Subhransu Sekhar Dash

  2. Department of Electrical and Electronics Engineering, SRM University, Chennai, Tamil Nadu, India

    K. Vijayakumar

  3. Department of Electrical and Electronics Engineering, Indian Institute of Technology Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

  4. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

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Pragallapati, N., Narasimham, N.V.S.L. (2017). A TEP-Based Approach for Optimal Thrust Direction of Lunar Soft Landing. In: Dash, S., Vijayakumar, K., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-10-3174-8_15

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  • DOI: https://doi.org/10.1007/978-981-10-3174-8_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3173-1

  • Online ISBN: 978-981-10-3174-8

  • eBook Packages: EngineeringEngineering (R0)

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