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Vision-based adaptive guidance law for intercepting a manoeuvring target

Vision-based adaptive guidance law for intercepting a manoeuvring target

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  • Author(s): Y. Tian 1, 2 ; Y. Li 2 ; Z. Ren 1
    • View affiliations
    • Affiliations: 1: School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing, People's Republic of China
      2: School of Surveying and Spatial Information Systems, University of New South Wales, Sydney, Australia
  • Source: Volume 5, Issue 3, 17 February 2011, p. 421 – 428
    DOI:  10.1049/iet-cta.2010.0092 , Print ISSN 1751-8644, Online ISSN 1751-8652
© The Institution of Engineering and Technology
Published

This article introduces an adaptive guidance law for intercepting a manoeuvring target using information from an imaging seeker. The relative missile–target kinematics is represented in the line-of-sight (LOS) frame, and the image information – instead of the relative range – is introduced to formulate the interception problem as an adaptive control problem with an unknown control coefficient. Considering the target's acceleration as a time-varying bounded external disturbance, an estimator with an adaptive property is derived. It is proven that the proposed guidance law can guarantee the LOS angular rates global uniform ultimate boundedness during the terminal course. The effectiveness of the proposed guidance law has been demonstrated in simulations for two kinds of typical manoeuvring targets.

Inspec keywords: adaptive control; object detection; computer vision; missile guidance

Other keywords: adaptive control problem; time varying bounded external disturbance; manoeuvring target interception; imaging seeker; missile target kinematics; angular rates global uniform ultimate boundedness; vision based adaptive guidance law; line-of-sight frame

Subjects: Aerospace control; Military control systems; Optical, image and video signal processing; Military detection and tracking systems; Computer vision and image processing techniques; Self-adjusting control systems

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