Aircraft Longitudinal Auto-landing Guidance Law Using Time Delay Control Scheme

Choi, Hyoung Sik; Lee, Þ Sangjong; Kim, Þ Eung Tai; Shim, David Hyunchul

doi:10.2322/tjsass.53.207

Cited by 10 publications

(9 citation statements)

References 10 publications

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“…where esign heme with TDC as been studied in many years and well established [19,21]. Therefore, eme is not covered in this paper, but major concept is reviewed.…”

Section: F(x T) = F(x T) +[B (X T)u + B(x T)μ -Bu]+ D(t)mentioning

confidence: 99%

Fault Tolerant Control of Hexacopter for Actuator Faults using Time Delay Control Method

Jang-Ho¹,

Choi²,

Shim³

2016

International Journal of Aeronautical and Space Sciences

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A novel attitude tacking control method using Time Delay Control (TDC) scheme is developed to provide robust controllability of a rigid hexacopter in case of single or multiple rotor faults. When the TDC scheme is developed, the rotor faults such as the abrupt and/or incipient rotor faults are considered as model uncertainties. The kinematics, modeling of rigid dynamics of hexacopter, and design of stability and controllability augmentation system (SCAS) are addressed rigorously in this paper. In order to compare the developed control scheme to a conventional control method, a nonlinear numerical simulation has been performed and the attitude tracking performance has been compared between the two methods considering the single and multiple rotor faults cases. The developed control scheme shows superior stability and robust controllability of a hexacopter that is subjected to one or multiple rotor faults and external disturbance, i.e., wind shear, gust, and turbulence.

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“…where esign heme with TDC as been studied in many years and well established [19,21]. Therefore, eme is not covered in this paper, but major concept is reviewed.…”

Section: F(x T) = F(x T) +[B (X T)u + B(x T)μ -Bu]+ D(t)mentioning

confidence: 99%

Fault Tolerant Control of Hexacopter for Actuator Faults using Time Delay Control Method

Jang-Ho¹,

Choi²,

Shim³

2016

International Journal of Aeronautical and Space Sciences

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“…23) For convenience, it is reviewed below. Consider a general nonlinear dynamic equation given by Eq.…”

Section: Tdc Algorithmmentioning

confidence: 99%

“…24,25) The previous studies on the auto-landing guidance law are well summarized by Choi et al who proposed a TDC scheme applied to the longitudinal auto-landing guidance law of fixed-wing aircraft. 23) This paper is organized as follows. The actuator fault model and TDC algorithm are briefly summarized in section 2.…”

Section: Introductionmentioning

confidence: 99%

Time Delay Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding

Lee¹,

Choi²,

Lee³

et al. 2012

Trans. Japan Soc. Aero. S Sci.

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A time delay control methodology is adopted to cope with degraded control performance due to control surface damage of unmanned aerial vehicles, especially in the case of the automatic landing phase. It is a crucial challenge to maintain consistent control performance even under fault environments such as stuck and/or incipient actuator faults. Flight control systems designed using conventional feedback control methods in such cases may result in unsatisfactory performance, and even worse, may not guarantee the closed-loop stability, which is fatal for aircraft in the state of auto-landing. To overcome the shortfalls of the conventional approach, the time delay control scheme is adopted. This scheme is known to be robust against disturbance, model uncertainties and so on. Motivated by the fact that the abrupt and/or incipient actuator faults focused on in this paper could be considered as model uncertainties, we consider the application of the time delay controller to designing a fault tolerant control system. To show the effectiveness of the time delay control method, a nonlinear 6-DOF simulation is performed under model uncertainties and wind disturbances, and control performance is compared with that of conventional controllers in the case of multiple and single actuator faults.

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“…1,2) Furthermore, recent advances in the utilization of wind as a useful energy (e.g., soaring flight for low-energy consumption), 3) not just a disturbance, demand more extensive studies of airborne wind estimation and measurement. The airborne methods extract a wind component from data collected by the UAV's onboard sensors (e.g., air-data system (ADS), global positioning system (GPS), and inertial navigation system (INS)) in real time.…”

Section: Introductionmentioning

confidence: 99%

Dynamics and Simulation of the Effects of Wind on UAVs and Airborne Wind Measurement

Choi

Lee

Ryu

et al. 2015

Trans. Japan Soc. Aero. S Sci.

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This paper presents a simulation of wind effects on a flying unmanned aerial vehicle (UAV) and a simulation of wind measurements taken from an airborne UAV. The wind acts as a disturbance on the flying UAV by altering its attitude and velocity. Therefore, the airborne measurement should be taken dynamically to reflect the instantaneous motion of a vehicle that is affected by wind. In order to understand and validate the algorithm that measures wind and the interaction between wind and the UAV, an investigation using simulation is extremely valuable. Considering real applications, this study implements modeling of the interaction between wind and a UAV from the perspective of the UAV's onboard sensors, and a wind measurement formula is clarified based on the established model. The results of the simulation confirm that, if an accurate measurements for angle-of-attack and sideslip are available, the wind can be accurately measured regardless of the control scheme used in flight.

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Aircraft Longitudinal Auto-landing Guidance Law Using Time Delay Control Scheme

Cited by 10 publications

References 10 publications

Fault Tolerant Control of Hexacopter for Actuator Faults using Time Delay Control Method

Fault Tolerant Control of Hexacopter for Actuator Faults using Time Delay Control Method

Time Delay Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding

Dynamics and Simulation of the Effects of Wind on UAVs and Airborne Wind Measurement

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