2009
DOI: 10.1109/tcst.2008.924561
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Capturability of a Geometric Guidance Law in Relative Velocity Space

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Cited by 19 publications
(7 citation statements)
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“…The planar DGGL is with the same direction of the commanded acceleration of two-dimensional (2D) PPN. 19,20,29,30,32 Li et al 31 proposed a 3D gainvarying guidance algorithm (GGA) using the concept of planar DGGL, whose direction of commanded acceleration was actually the same as that of 3D PPN, while the relationship of equation (13) was satisfied for a nonmaneuvering target. In fact, Li et al's 3D geometric guidance algorithm (equation 25in Li et al 31 ) can be interpreted as…”
Section: Relative Kinematicsmentioning
confidence: 99%
See 1 more Smart Citation
“…The planar DGGL is with the same direction of the commanded acceleration of two-dimensional (2D) PPN. 19,20,29,30,32 Li et al 31 proposed a 3D gainvarying guidance algorithm (GGA) using the concept of planar DGGL, whose direction of commanded acceleration was actually the same as that of 3D PPN, while the relationship of equation (13) was satisfied for a nonmaneuvering target. In fact, Li et al's 3D geometric guidance algorithm (equation 25in Li et al 31 ) can be interpreted as…”
Section: Relative Kinematicsmentioning
confidence: 99%
“…Li et al 31 later advanced a 3D gain-varying guidance algorithm (GGA) by using the concept of planar DGGL and the principle of 3D PPN, and the post-launch capture condition of this guidance algorithm was analyzed. Dhananjay et al 32 investigated the capturability of the planar DGGL and pointed out that the planar DGGL was similar to augmented PPN with a timevarying navigation gain and the target maneuvering term. In short, it can be intuitively concluded that, when the target maneuvering term is cleared from the guidance command for the consideration of realization, Chiou and Kuo's planar DGGL becomes planar PPN with a time-varying navigation gain, while the 3D DGGL can be taken as a different 3D geometric guidance law with the PN concept.…”
Section: Introductionmentioning
confidence: 99%
“…Conventional proportional navigation systems have been improved with time-variable filtering, and the design process has been enhanced with automatic computer approaches. Several studied have been taken in the past to investigate, evaluate, and improve the proportional navigation problem [1,[8][9][10][11][12]. With online Kalman estimation for filtering noisy radar data and optimal control gains, the guidance systems have been developed in performances.…”
Section: Introductionmentioning
confidence: 99%
“…Li et al [9] later advanced a 3D gain-varying guidance algorithm by combining the concepts of 3D DGGL and 3D PPN. Dhananjay et al [10] investigated the capturability of the planar DGGL. Ye et al [11] proposed a nonlinear DGGL based on nonlinear control theory to handle the influence caused by the target maneuvering acceleration.…”
Section: Introductionmentioning
confidence: 99%
“…The planar DGGL is similar to PPN with a varying [10]. For 3D DGGL, both the expression in the arc-length system proposed by Chiou et al [3] and the expression in the time domain given by Li et al [6] were not intuitive and convenient enough for performance analysis and application to practical interception scenarios.…”
Section: Introductionmentioning
confidence: 99%