Autopilots for small unmanned aerial vehicles: A survey

Huo, Chao; Cao, Yongcan; Chen, YangQuan

doi:10.1007/s12555-010-0105-z

Cited by 380 publications

(166 citation statements)

References 18 publications

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“…Civilian UAVs commonly fall into two categories: fixed wing types (Chao et al, 2010) or rotary wing types (Kendoul, 2012). As most aerial work requires low altitude and low speed operation, rotary wing UAVs are more popular in the field of civilian UAVs.…”

Section: Status Of Civilian Unmanned Aerial Vehiclesmentioning

confidence: 99%

Current trends in the development of intelligent unmanned autonomous systems

Zhang

et al. 2017

Frontiers Inf Technol Electronic Eng

124

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Intelligent unmanned autonomous systems are some of the most important applications of artificial intelligence (AI). The development of such systems can significantly promote innovation in AI technologies. This paper introduces the trends in the development of intelligent unmanned autonomous systems by summarizing the main achievements in each technological platform. Furthermore, we classify the relevant technologies into seven areas, including AI technologies, unmanned vehicles, unmanned aerial vehicles, service robots, space robots, marine robots, and unmanned workshops/intelligent plants. Current trends and developments in each area are introduced.

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Section: Status Of Civilian Unmanned Aerial Vehiclesmentioning

confidence: 99%

Current trends in the development of intelligent unmanned autonomous systems

Zhang

et al. 2017

Frontiers Inf Technol Electronic Eng

124

View full text Add to dashboard Cite

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“…This has led to small UAVs being widely used for a range of applications (e.g. remote sensing, mapping and traffic monitoring among many others [1]). This work is concerned with fixed-wing UAVs, which are generally operated outdoors.…”

Section: Introductionmentioning

confidence: 99%

Disturbance Observer Based Control with Anti-Windup Applied to a Small Fixed Wing UAV for Disturbance Rejection

Smith

Liu

2017

J Intell Robot Syst

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Small Unmanned Aerial Vehicles (UAVs) are attracting increasing interest due to their favourable features; small size, low weight and cost. These features also present different challenges in control design and aircraft operation. An accurate mathematical model is unlikely to be available meaning optimal control methods become difficult to apply. Furthermore, their reduced weight and inertia mean they are significantly more vulnerable to environmental disturbances such as wind gusts. Larger disturbances require more control actuation, meaning small UAVs are far more susceptible to actuator saturation. Failure to account for this can lead to controller windup and subsequent performance degradation. In this work, numerical simulations are conducted comparing a baseline Linear Quadratic Regulator (LQR) controller to integral augmentation and Disturbance Observer Based Control (DOBC). An anti-windup scheme is added to the DOBC to attenuate windup The simulations conduct manoeuvres which would occur during landing, statistically the most dangerous flight phase, where fast disturbance rejection is critical. Validation simulations are then conducted using commercial X-Plane simulation software. This demonstrates that DOBC with anti-windup provides faster disturbance rejection of both modelling errors and external disturbances.

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“…Intelligent flight spherical theory: spherical aircraft is mainly to help fly. Unmanned aircraft compared with the traditional manned aircraft, with a portable and transport light, good motor performance [1], low working environment requirements [2], low-altitude flight capability [3,4] and other characteristics, quickly get The importance and favor of the nations of the world [5][6][7][8][9][10]. As a mobile robot with spherical rolling movement, the spherical robot has the advantages of flexible movement [11], strong adaptability to environment [12], high movement efficiency [13] and so on.…”

Section: Introductionmentioning

confidence: 99%

Research on Intelligent Flight Software Robot Based on Internet of Things

Hou¹,

Wang²

2017

Global J Technol Optim

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Abstract2010 China Internet of Things Application Promotion Union pointed out that the robot is one of the 100 leading edge technology. 2015, the forefront of the field of robot top10 technology, including Internet of things embedded technology, simulation technology, large data technology, cloud computing robot, robot autonomy technology and so on. The robot uses the sensor technology in the key technology of the Internet of Things. In order to make life better and more convenient, the research of Internet of Things technology and application, focusing on research based on the Internet of intelligent flight spherical monitoring software robot technology. In this paper, you can use mat lab simulation robot and programming algorithm, the use of advanced programming language to develop intelligent flight robots. The research results of intelligent flight monitoring software robot technology can be applied in academia and industry and medical transportation. This paper studies the intelligent flight monitoring software robot under the Internet of Things.

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Autopilots for small unmanned aerial vehicles: A survey

Cited by 380 publications

References 18 publications

Current trends in the development of intelligent unmanned autonomous systems

Current trends in the development of intelligent unmanned autonomous systems

Disturbance Observer Based Control with Anti-Windup Applied to a Small Fixed Wing UAV for Disturbance Rejection

Research on Intelligent Flight Software Robot Based on Internet of Things

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