Safe Landing of Fixed Wing UAVs

Jetley, Pranav; Sujit, P. B.; Saripalli, Srikanth

doi:10.1109/dsn-w.2017.43

Cited by 8 publications

(6 citation statements)

References 9 publications

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“…The study of the relevant literature review reveals that in spite of this area being of most importance, utilization of state estimators has been neglected since many GNC algorithms were developed and proposed without the estimation techniques, assuming that the sensors are available for each and every state and the sensor are totally noise free. Such demonstrations are evident in [27], [86], [87], [89], [90], [91], [92], [93], [94], [95], [98], [100], [101], [102], [103], [105], [106], [107], [108], [109], [111], [112], [113], [114], [115], and [127].…”

Section: Perspective Analysis Of Estimation Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

A Review of UAV Platforms for Autonomous Applications: Comprehensive Analysis and Future Directions

Tahir¹,

Mir²,

Islam

2023

IEEE Access

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Unmanned aerial vehicles have evolved rapidly in the recent past for their widespread utilization for both commercial and military purposes. It is extremely desirable while designing unmanned aerial vehicles, to enable them to accomplish their tasks with little human intervention. To achieve full autonomy, an optimal and robust control algorithm that covers complete flight phases is needed. Being propriety in nature, very little information is available in the literature that encompasses all modalities related to UAV design and development. Literature is even more dreath when it comes to near-actual implementation of the developed strategies. This study provides a comprehensive and in-depth review of the most recent and state-of-the-art control and estimation techniques for UAVs, as well as an examination of the flight phases in which those controllers and estimators are utilized. This study also suggests UAV-related research that would improve the overall quality of UAV design and facilitate the transition from software simulations to hardware implementation. Through this paper, a comprehensive platform is established that not only examines the controller and state estimators used for the development of autonomous UAVs but also identifies and discusses the limitations of existing research. In conclusion, several practical implementation considerations and future research directions are proposed.INDEX TERMS Autonomous missions, fixed wing, flight controller, landing, state estimation, take-off, unmanned aerial vehicle.

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Section: Perspective Analysis Of Estimation Techniquesmentioning

confidence: 99%

“…A lot of research is based only on Model-in-loop simulation (MILS). Authors in [95] and [102] performed MILS for verification of the LQR controller to autonomously control the UAV in its landing phase. Figure 5a shows the basic block diagram of MILS.…”

Section: A Simulation Techniquesmentioning

confidence: 99%

A Review of UAV Platforms for Autonomous Applications: Comprehensive Analysis and Future Directions

Tahir¹,

Mir²,

Islam

2023

IEEE Access

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“…The gain-scheduled control algorithm for the fixed-wing UAV was tested in a wind tunnel to demonstrate its effective implementation. Jetley et al [80] designed an LQR controller for the autonomous landing of fixed-wing UAVs. The designed controller gave satisfactory performance up to 25% headwind and 10% crosswind.…”

Section: Flight Control Algorithmsmentioning

confidence: 99%

“…The various state estimators utilized in GNC of fixed-wing UAVs are summarised in Table 4. The study of the relevant literature review reveals that many GNC algorithms were developed and proposed without utilizing state estimators [22,[78][79][80][82][83][84]86,[89][90][91][92][93][94][95][96][97][98][99][100][101][102]105,108,109,126], Reviewing the pertinent literature, we find that many GNC algorithms were created and suggested without using state estimators, on the false premise that sensors are always present and free of noise, despite the fact that state estimators are of paramount significance in UAV's GNC algorithm.…”

Section: Exploration Of State Estimation Techniquesmentioning

confidence: 99%

Control Algorithms, Kalman Estimation and Near Actual Simulation for UAVs: State of Art Perspective

Tahir

Mir

Islam

2023

Drones

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The pervasive use of unmanned aerial vehicles for both commercial and military operations has undergone rapid development in the recent past. When designing unmanned aerial vehicles, it is highly desirable for them to be able to complete their missions with minimal human intervention. Reaching full autonomy requires a reliable and efficient control algorithm that can handle all flight conditions. Due to the confidential nature of UAV design and development, there is a lack of comprehensive literature on the subject. When it comes to the practical application of the ideas presented in the literature, the situation is even bleaker. This research not only examines the flight phases in which controllers and estimators are used for UAVs but also provides an in-depth analysis of the most recent and state-of-the-art control and estimate techniques for UAVs. Research opportunities and challenges specific to UAVs were also examined in this study in an effort to raise the bar for UAV design as a whole and smooth the way for researchers to go from simulation-based research to practical applications. This review paper establishes a foundation that not only investigates the inherent flight dynamics, control architecture, and Kalman estimators utilized in the development of UAVs but also points out the shortcomings that currently exist in research. A number of design considerations for realistic applications and potential studies are presented in the conclusion.

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“…According to the number of propulsion motors, multi-copter types can be classified into tricopter, quadcopter, and hexacopter [4]. Multicopter applications have been widely used for various purposes, both in the military and civilian sectors [5] [6]. Multicopters are commonly used for photography,aerial video, and mapping/surveillance of an area [7].…”

Section: Introductionmentioning

confidence: 99%

Design and Development of Quadcopter’s Frame

Anuar,

Susilawati,

Syafri

et al. 2024

JOMAse

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The purpose of this research is to obtain a design and prototype of quadcopter’s frame, which be developed further as a quadcopter that capable of carrying payload of 1.5 kg with flight time of more than 20 minutes. The design begins with estimating the values of Maximum Take-Off Weight (MTOW), required thrust, propeller dimensions, and wheelbase dimensions of the quadcopter. The results show the MTOW of the quadcopter was 5 kg, with each motor requiring of 2.5 kg of thrust per arm. The wheelbase dimension was 790 mm, and the propeller diameter of 17 inches. A wheelbase dimension was utilized to develop three conceptual frame designs for the quadcopter. The three conceptual designs were selected using a decision matrix table. The selected design was calculated for its structural strength by applying a load of 2.5 kg on each motor mounting. The results show the maximum stress value of 21.17 MPa, the maximum deflection of 3.5 mm, and safety factor of 22.44. Then, the prototype of quadcopter’s frame was manufactured. Therefore, the producing of prototype was measured the mass and deflection. Based on the measurements conducted, the quadcopter frame has an actual mass of 595 grams and a maximum deflection of 3.7 mm. The actual deflection value and the actual mass are close to the deflection and mass obtained from the calculation.

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Safe Landing of Fixed Wing UAVs

Cited by 8 publications

References 9 publications

A Review of UAV Platforms for Autonomous Applications: Comprehensive Analysis and Future Directions

A Review of UAV Platforms for Autonomous Applications: Comprehensive Analysis and Future Directions

Control Algorithms, Kalman Estimation and Near Actual Simulation for UAVs: State of Art Perspective

Design and Development of Quadcopter’s Frame

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