H-infinity design of F/A-18A automatic Carrier Landing System

Subrahmanyam, M. B.

doi:10.2514/3.21177

Cited by 73 publications

(23 citation statements)

References 2 publications

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“…-collect current data about the position and attitude of both the platform and the aircraft using classical (active) sensors such as radar or relative GPS [3], -determine a landing trajectory, -servo the aircraft to this trajectory, using "optimal" [6] or "robust" [7] feedback control.…”

Section: Introductionmentioning

confidence: 99%

Optic Flow Regulation in Unsteady Environments: A Tethered MAV Achieves Terrain Following and Targeted Landing Over a Moving Platform

Ruffier

Franceschini

2014

J Intell Robot Syst

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The present study deals with the risky and daunting tasks of flying and landing in nonstationary environments. Using a two Degree-OfFreedom (DOF) tethered micro-air vehicle (MAV), we show the benefits of an autopilot dealing with a variable -the optic flow -which depends directly on two relative variables, the groundspeed and the groundheight. The micro-helicopter was shown to follow the ups and downs of a rotating platform that was also oscillated vertically. At no time did the MAV know in terms of ground height whether it was approaching the moving ground or whether the ground itself was rising to it dangerously. Nor did it know whether its current groundspeed was caused only by its forward thrust or whether it was partly due to the ground moving backwards or forwards. Furthermore, the MAV was shown to land safely on a platform set into motion along two directions, vertical and horizontal. This paper extends to non-stationary environments a former approach that introduced the principle of "optic flow regulation" for altitude control. Whereas in the former approach no requirement was set on the robot's landing target, the target's elevation angle was used here in a second feedback loop that gradually altered the robot's pitch and therefore its airspeed, leading to smooth landing in the vicinity of the target. Whether dealing with terrain following or landing, the MAV followed appropriately the unpredictable changes in the environment although it had no explicit knowledge of groundheight and groundspeed. The MAV did not make use of any rangefinders or velocimeters and was simply equipped with a 2-gram vision-based autopilot.

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Section: Introductionmentioning

confidence: 99%

Optic Flow Regulation in Unsteady Environments: A Tethered MAV Achieves Terrain Following and Targeted Landing Over a Moving Platform

Ruffier

Franceschini

2014

J Intell Robot Syst

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“…Using the F-18 model [1]: 0.0000 0.0000 0.0000 1.0000 0.0000 0.0218 1.1660 0.0000 0.2544 0.0000 0.0000 1.0000 1.0000 0.0000 0.0000…”

Section: Controller Designunclassified

“…In order to simplify the derivation, the assumption is that ( ) r k and ( ) w k are fixed values (such as step signal), or their change rate is very slow, then ( 1) r k ∆ + , ( ) w k ∆ can be considered zero. There is always a generalized system:…”

Section: Optimal Control Of Discrete Error Expanded Systemmentioning

confidence: 99%

“…Many requirements are very high like response capability, robust performance, landing accuracy in carrier lading. There are many methods to design carrier landing control law.Subrahmanyam [1], Yu Y [2] designed F/A-18A automatic Carrier Landing System using H-infinity control, and results showed that the error of track is small. The mixed H2/Hinf control technique is employed to develop controllers for automatic landing systems [3].…”

Section: Introductionmentioning

confidence: 99%

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Sampling Optimal Control Based on Discrete Error Expanded System for Carrier Landing

Wang¹,

Wen-hai²,

Gao³

2017

dtetr

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Abstract. The response ability and robust performance of carrier based aircraft landing control system are very high. The existing literature has not considered the discrete sampling of carrier landing control, but in fact the discrete sampling has a great influence on the control performance of the system. In this paper, the error state of the discrete linear system is expanded, and the controller is obtained from the error expanded system. This method is used to design the landing continuous dynamics optimal controller under sampling. The simulation results show that the system has good control effect on initial height deviation correction, ship air wake suppression and model perturbation suppression. And its steady-state accuracy, dynamic performance and robustness are much stronger than the carrier landing engineering PID control, even though PID control has no sampling in simulation. The backside area of landing drag curve and the direct force effect of the elevator will each cause two non-minimum phase zeros for the aircraft dynamics. The sampling optimal control method can eliminate the two zero points, while the PID control can only eliminate the former zero point.

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“…There exist numerous uncertainties during the fight before the aircraft landing, e.g. the flight condition and the maritime environment [2], [3]. As a result, it increases the uncertainty of landing.…”

Section: Introductionmentioning

confidence: 99%

A Decision-Making Method for Landing Routes of Aircraft on the Carrier

Tan

Sun

et al. 2016

MATEC Web Conf.

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Abstract.The landing safety of aircraft is of great significance for the normal operation of an aircraft carrier. This paper presents an optimal method for landing routes of aircraft. Owing to the fuzziness of environmental information and human judgment, a decision-making method is introduced to reduce the workload of landing console operators (LCO). Specifically, a route option method for aircraft landing is proposed based on Fuzzy Multi-attribute Group Decision Making (FMAGDM). Firstly, the route option problem is described. Then the essential elements of route option are described. A group decision-making method is proposed, and the most reasonable landing route in current environment is obtained considering the knowledge composition and the weight of each decision maker. Finally, simulations under different environments are conducted. The results indicate that the decision-making method is able to adapt to the environment changes, and determine the most reasonable route for each validation case.

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H-infinity design of F/A-18A automatic Carrier Landing System

Cited by 73 publications

References 2 publications

Optic Flow Regulation in Unsteady Environments: A Tethered MAV Achieves Terrain Following and Targeted Landing Over a Moving Platform

Optic Flow Regulation in Unsteady Environments: A Tethered MAV Achieves Terrain Following and Targeted Landing Over a Moving Platform

Sampling Optimal Control Based on Discrete Error Expanded System for Carrier Landing

A Decision-Making Method for Landing Routes of Aircraft on the Carrier

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