LE QUY DON
Technical University
VietnameseClear Cookie - decide language by browser settings

Field-of-View and Impact Angle Constrained Guidance Law for Missile with Reducing Sensitivity on Initial Errors based on optimal Error Dynamics

Van, H.T. and Ngoc, D.N. and Dung, P.T. (2023) Field-of-View and Impact Angle Constrained Guidance Law for Missile with Reducing Sensitivity on Initial Errors based on optimal Error Dynamics. In: UNSPECIFIED.

Full text not available from this repository. (Upload)

Abstract

This paper presents a comprehensive terminal homing guidance law for stationary ground targets, derived from the optimal error dynamics (OED) technique. The synthesized guidance law addresses a wide range of constraints, with a primary focus on reducing sensitivity to the initial guidance error, resulting in lower required acceleration command at the initial homing phase. Incorporating an input weighting function effectively distributes the guidance command throughout the homing phase. Simultaneously, the guidance law ensures compliance with the terminal impact angle and field-of-view (FOV) constraints. To meet the FOV constraint, the paper integrates a saturation function mapping method. The guidance law ensures that the acceleration command approaches zero at the terminal phase, achieving precise control of the impact angle. Furthermore, the missile's trajectory generated by this guidance law remains unaffected by variations in missile velocity, enhancing its applicability in real-world scenarios. Numerical simulations are conducted to illustrate the effectiveness of the synthesized guidance law. © 2023 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Offices > Office of International Cooperation
Identification Number: 10.1109/ICCAIS59597.2023.10382396
Uncontrolled Keywords: Electronic guidance systems; Errors; Guided missiles, Error dynamics; Field of views; Guidance laws; Homing guidance; Impact angles; Initial errors; Optimal error; Optimal error dynamic; Synthesised; View angles, Dynamics
Additional Information: cited By 0; Conference of 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023 ; Conference Date: 27 November 2023 Through 29 November 2023; Conference Code:196337
URI: http://eprints.lqdtu.edu.vn/id/eprint/11115

Actions (login required)

View Item
View Item