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Information Journal Paper

Title

A Guidance Law for Interception of Very High Speed Targets using Simulator-Based Learning Algorithm

Pages

  49-57

Abstract

 In this paper, the problem of intercepting Very high speed non-maneuvering Ballistic targets is addressed and a novel guidance law to enhance the probability of 'hit to kill' is designed. The most important challenges arise in interception of high speed Ballistic targets include high closing velocity and consequent lack of time for the final reaction, the presence of noise with high standard deviation in the sensors and as a result of inability to accurately identify targets position and considerable time constant in the time order of final interception phase. The available guidance methods in literature review are usually designed by ignoring or reducing above items at low speed and quick response of the interceptor to guidance commands, which in some cases are not very effective in the practical cases mentioned in this article. In this paper, two ideas of using missile team in continuously to participate target detection information and a constant step guidance law to increase the quality of interception have been used. The amplitude of static guidance is deduced through a Regression Model using simulator software. The simulation of proposed guidance law on a high precision model shows the efficiency of the method.

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  • Cite

    APA: Copy

    Khankalantary, S., & MOHAMMADKHANI, H.. (2020). A Guidance Law for Interception of Very High Speed Targets using Simulator-Based Learning Algorithm. AEROSPACE MECHANICS JOURNAL, 16(3 (61) ), 49-57. SID. https://sid.ir/paper/369489/en

    Vancouver: Copy

    Khankalantary S., MOHAMMADKHANI H.. A Guidance Law for Interception of Very High Speed Targets using Simulator-Based Learning Algorithm. AEROSPACE MECHANICS JOURNAL[Internet]. 2020;16(3 (61) ):49-57. Available from: https://sid.ir/paper/369489/en

    IEEE: Copy

    S. Khankalantary, and H. MOHAMMADKHANI, “A Guidance Law for Interception of Very High Speed Targets using Simulator-Based Learning Algorithm,” AEROSPACE MECHANICS JOURNAL, vol. 16, no. 3 (61) , pp. 49–57, 2020, [Online]. Available: https://sid.ir/paper/369489/en

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