AIAA Guidance, Navigation, and Control Conference 2014
DOI: 10.2514/6.2014-1298
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Nonlinear Helicopter and Ship Models for Predictive Control of Ship Landing Operations

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Cited by 11 publications
(7 citation statements)
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“…He et al developed a constraint reduction algorithm for rotorcraft MPC [100]. Ngo and Sultan studied ship landing control for a full-size helicopter model using MPC [101]. In 2016, Cooper et al developed a partial authority Receding Horizon Optimal (RHO) controller to improve rotorcraft handling qualities in DVE [102].…”
Section: Other Modern Control Methodologies Lqr/lqg Andmentioning
confidence: 99%
“…He et al developed a constraint reduction algorithm for rotorcraft MPC [100]. Ngo and Sultan studied ship landing control for a full-size helicopter model using MPC [101]. In 2016, Cooper et al developed a partial authority Receding Horizon Optimal (RHO) controller to improve rotorcraft handling qualities in DVE [102].…”
Section: Other Modern Control Methodologies Lqr/lqg Andmentioning
confidence: 99%
“…For instance, the linear quadratic regulator and model predictive controllers studied by Sandino et al [13] and Ngo and Sultan [16] are optimal with respect to objective functions of specific forms and do not consider the pseudorandom ship motion explicitly. Furthermore, the more commonly used PID controller [5,11,12,14,15], which is a kind of state feedback control, is usually tuned such that the settling time or maximum overshoot is minimized.…”
Section: Introductionmentioning
confidence: 99%
“…These UAVs are capable of takeoff and landing on an aircraft carrier, while the smaller ones are even able to equip the warships [4]. One of the important problems related to naval Unmanned Aerial Vehicles (UAV), is the design of an automatic landing system that would enable autonomous landing of a UAV on an aircraft, and a lot of studies has been done on this problems [5,6]. An innovative autonomous carrier landing system for UAVs is proposed in [5], referred to as the Carrier Motion Prediction & Autonomous Landing (CM-PAL) system.…”
Section: Introductionmentioning
confidence: 99%
“…The system is based on real-time estimation of magnitudes and frequencies of waves encountered by the carrier, and online prediction of the carrier motion. In [6], a linear Model Predictive Control (MPC) design for the helicopter is investigated using linearized models and it is evaluated using the nonlinear model. However, these landing approaches can only be used in the situation where the UAV is close enough to the carrier and the velocity should be in the same direction of the carrier.…”
Section: Introductionmentioning
confidence: 99%