This paper presents a parallel-structured Newton-type guidance law for the missile guidance problems. In the proposed approach, the modified Chebyshev–Picard iteration is used to approximate the dynamic equations, by which the continuous-time guidance problem is transcribed into a sequence of discrete-time subproblems, and both serial and parallel computing can be supported. The subproblems can then be iteratively solved by the Newton-type methods. Numerical demonstrations in a 3-D air-to-surface missile guidance problem with both impact-time and impact-angle constraints are provided to illustrate the effectiveness of the proposed guidance law. The simulation results show that the proposed guidance is superior to the state-of-the-art adaptive damped Newton-type guidance and quasi-spectral model predictive static programming in both computational efficiency and accuracy, even before parallel implementation.


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    Title :

    Parallel-Structured Newton-Type Guidance by Using Modified Chebyshev–Picard Iteration


    Contributors:
    Ma, Yangyang (author) / Pan, Binfeng (author)

    Published in:

    Publication date :

    2020-11-30


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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