2021
DOI: 10.1177/09544100211029817
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Sliding mode–based simultaneous control of impact angle and impact time

Abstract: In this article, a sliding mode control–based nonlinear guidance scheme for controlling both impact angle and impact time simultaneously is proposed. The problem of impact angle control is first transformed to that of controlling line-of-sight angle and its rate, while the requirement of impact time is achieved by tracking the desired time-to-go. The chosen time-to-go estimate accounts for the curvature required to meet the impact angle requirements toward the target interception. In order to satisfy both of t… Show more

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Cited by 5 publications
(3 citation statements)
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References 35 publications
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“…Yan [16] proposed a computational geometry guidance against stationary targets, satisfying the constraints by iterating parameters of the geometry curve. Majumder [17] proposed a sliding-mode-control-based nonlinear guidance scheme for controlling both impact angle and impact time simultaneously. Liu [18] designed an adaptive sliding mode ITACG method, increasing its adaptability and robustness.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Yan [16] proposed a computational geometry guidance against stationary targets, satisfying the constraints by iterating parameters of the geometry curve. Majumder [17] proposed a sliding-mode-control-based nonlinear guidance scheme for controlling both impact angle and impact time simultaneously. Liu [18] designed an adaptive sliding mode ITACG method, increasing its adaptability and robustness.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In Refs. [8][9][10][11][12][13][14][15][16][17][18][19], the guidance methods rely on time-to-go or range-to-go estimation. However, the estimation is difficult because of the uncontrollable varying velocity.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For most scenarios, the engagement duration is finite and thus the guidance systems are expected to satisfy the desired performance within a finite-time. [4][5][6][7][8][9] The finite-time convergence of the controlled guidance variables to the origin is desirable not only because of the faster convergence, but also due to the expectation that such schemes perform better in the presence of uncertainties and disturbances. 10,11 There have been numerous guidance schemes based on proportional navigation (PN) and its variants 12,13 to ensure the target interception within a finite time.…”
Section: Introductionmentioning
confidence: 99%