2009
DOI: 10.1049/iet-cta.2008.0057
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Coupled linear parameter varying and flatness-based approach for space re-entry vehicles guidance

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Cited by 20 publications
(21 citation statements)
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“…The state variables and aerodynamic forces acting on the vehicle are shown in Figure . As the angle of attack is assumed to be kept at the status of aerodynamic trim, the vehicle is controlled by bank angle σ modulation only . Due to physical limitation, the bank angle σ is required to operate in the range of [−90° 90°].…”
Section: Entry Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…The state variables and aerodynamic forces acting on the vehicle are shown in Figure . As the angle of attack is assumed to be kept at the status of aerodynamic trim, the vehicle is controlled by bank angle σ modulation only . Due to physical limitation, the bank angle σ is required to operate in the range of [−90° 90°].…”
Section: Entry Problemmentioning
confidence: 99%
“…It can be easily observed from that longitudinal motion equations are decoupled with the lateral motion equations . For entry guidance law, bank angle modulation needs to be designed by taking into consideration the longitudinal motion profile firstly.…”
Section: Entry Problemmentioning
confidence: 99%
“…Because the longitudinal equations defined in Eqs. (6)-(10) contain trigonometric functions, the equations for the design of the RNNSOSMG guidance are first transformed as follows [23] x 1 = r…”
Section: Second-order Sliding Mode Guidance For Mars Entrymentioning
confidence: 99%
“…However, due to the the mismatching between the mathematical model and the real quadrotor dynamics, the noises, and disturbances in the process, this kind of optimal control may result in a signi¦cantly degraded performance. Therefore, it is essential to design a corrective input term δu based on the gap between the optimal state x o and the actual system state x [17]. The feedback tracking controller is designed based on perturbation models around the optimal state x o and control u o .…”
Section: Tracking Control Designmentioning
confidence: 99%
“…There are many synthesis techniques for designing LPV controllers once an LPV model is known, such as gain scheduling control [18], H ∞ control [17], and model predictive control [19]. This paper uses a classic MPC technique introduced in [20] to achieve the regulation of the LPV system.…”
Section: Tracking Control Designmentioning
confidence: 99%