Dubins-Based Autolanding Procedure for Fixed-Wing UAS

Xu, Jeffrey; Keshmiri, Shawn

doi:10.1109/icuas51884.2021.9476882

Cited by 3 publications

(3 citation statements)

References 17 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%

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

Tahir¹,

Mir²,

Islam

2023

IEEE Access

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“…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%

“…MILS was used by the authors of [80,94] to validate the LQR controller's performance in autonomous UAV landing. Similarly, authors of [22,78,[81][82][83][84]89,[91][92][93][98][99][100][101][102][104][105][106][107][109][110][111] performed MILS simulations to simulate their controller's performance. The MILS block diagram is depicted in Figure 3.…”

Section: Realistic Simulation 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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Dynamic Modeling and Hybrid Fireworks Algorithm-Based Path Planning of an Amphibious Robot

Liu

2022

Guid. Navigat. Control

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The task of path planning in amphibious environments requires additional consideration due to the complexity of the amphibious environments. This paper presents a path planning method for an amphibious robot named “AmphiRobot” with its dynamic constraints considered. First, an explicit dynamic model using Kane’s method is presented. The hydrodynamic parameters are obtained through computational fluid dynamics simulations. Furthermore, a path planning method based on a hybrid fireworks algorithm is proposed, combining the fireworks algorithm and bare bones fireworks algorithm, aiming at the amphibious robot’s characteristics of multiple motion modes and working environments. The initially planned path is then smoothed using Dubins path under constraints determined by the dynamic model. Simulation reveals that the performance of the hybrid fireworks algorithm approach is better than the fireworks algorithm and bare bones fireworks algorithm is applied separately in the amphibious environment scenarios.

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Dubins-Based Autolanding Procedure for Fixed-Wing UAS

Cited by 3 publications

References 17 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

Dynamic Modeling and Hybrid Fireworks Algorithm-Based Path Planning of an Amphibious Robot

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