Research on UAV Degrade Control System under Sensor Fault State

Zhai, Xiaohua; Qian, Zhengzai; Liu, Jianan; Xin, Gongcai

doi:10.1109/gcis.2010.189

Cited by 4 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The landing environment of carrier-borne aircraft is the complex and changeable ocean [23,24]. Due to the influence of uncertain factors, such as waves and wind, the deck motion changes constantly [25][26][27][28][29]. Therefore, the designed deck motion predictor and compensator should be able to achieve good compensation effects under different deck motion conditions to ensure a safe landing in complex landing environments.…”

Section: Simulation On the Compensation For The Vertical Motion At Id...mentioning

confidence: 99%

Prediction and Compensation Model of Longitudinal and Lateral Deck Motion for Automatic Landing Guidance System

et al. 2022

View full text Add to dashboard Cite

This paper mainly studies the longitudinal and lateral deck motion compensation technology. In order to ensure the safe landing of the carrier-based aircrafts on the flight decks of carriers during the landing process, it is necessary to introduce deck motion information into the guidance law information of the automatic landing guidance system when the aircraft is about to land so that the aircraft can track the deck motion. To compensate the influence of the height change in the ideal landing point on the landing process, the compensation effects of the deck motion compensators with different design parameters are verified by simulation. For further phase-lead compensation for the longitudinal automatic landing guidance system, a deck motion predictor is designed based on the particle filter optimal prediction theory and the AR model time series analysis method. Because the influence of up and down motions on the vertical motion of the ideal landing point is the largest, the compensation effects of the designed predictor and compensator are simulated and verified based on the up and down motion of the power spectrum. For the compensation for the lateral motion, a tracking strategy of the horizontal measurement axis of the inertial stability coordinate system to the horizontal axis of the hull coordinate system (center line of the deck) is proposed. The tracking effects of the horizontal measurement axis of the designed integral and inertial tracking strategies are simulated and compared. Secondly, the lateral deck motion compensation commands are designed, and the compensation effects of different forms of compensation commands are verified by simulations. Finally, the compensation effects for the lateral deck motion under integral and inertial tracking strategies are simulated and analyzed.

show abstract

Section: Simulation On the Compensation For The Vertical Motion At Id...mentioning

confidence: 99%

Prediction and Compensation Model of Longitudinal and Lateral Deck Motion for Automatic Landing Guidance System

et al. 2022

View full text Add to dashboard Cite

show abstract

Research on multi-classification method of UAV sensor fault based on wavelet entropy and AFWA-BP neural network

Chen

Zhang

et al. 2017

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)

View full text Add to dashboard Cite

Security, Privacy, and Safety Aspects of Civilian Drones

AlTawy

Youssef

2016

ACM Trans. Cyber-Phys. Syst.

360

157

View full text Add to dashboard Cite

The market for civilian unmanned aerial vehicles, also known as drones, is expanding rapidly as new applications are emerging to incorporate the use of civilian drones in our daily lives. On one hand, the convenience of offering certain services via drones is attractive. On the other hand, the mere operation of these airborne machines, which rely heavily on their cyber capabilities, poses great threats to people and property. Also, while the Federal Aviation Administration NextGen project aims to integrate civilian drones into the national airspace, the regulation is still a work-in-progress and does not cope with their threats. This article surveys the main security, privacy, and safety aspects associated with the use of civilian drones in the national airspace. In particular, we identify both the physical and cyber threats of such systems and discuss the security properties required by their critical operation environment. We also identify the research challenges and possible future directions in the fields of civilian drone security, safety, and privacy. Based on our investigation, we forecast that security will be a central enabling technology for the next generation of civilian unmanned aerial vehicles.

show abstract

Research on UAV Degrade Control System under Sensor Fault State

Cited by 4 publications

References 1 publication

Prediction and Compensation Model of Longitudinal and Lateral Deck Motion for Automatic Landing Guidance System

Prediction and Compensation Model of Longitudinal and Lateral Deck Motion for Automatic Landing Guidance System

Research on multi-classification method of UAV sensor fault based on wavelet entropy and AFWA-BP neural network

Security, Privacy, and Safety Aspects of Civilian Drones

Contact Info

Product

Resources

About