Design of a flexible high performance quadcopter platform breaking the MAV endurance record with laser power beaming

Achtelik, Michael; Stumpf, Jan; Gurdan, Daniel; Doth, Klaus-Michael

doi:10.1109/iros.2011.6094731

Cited by 71 publications

(34 citation statements)

References 7 publications

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“…The flight time depends significantly on the battery and payload weight. Flight time decreases as much as to 50% according to the payload [1]. Battery weight and payload weight should be chosen very carefully as it affects not only the energy efficiency, but also the flight time and flight range.…”

Section: Component Modelsmentioning

confidence: 99%

“…Battery weight and payload weight should be chosen very carefully as it affects not only the energy efficiency, but also the flight time and flight range. Drone power consump- tion depends significantly on types of vehicles and operating conditions, and a number of models exist [1]. We use the following drone power model from [8] and use parameters from [11].…”

Section: Component Modelsmentioning

confidence: 99%

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Design space exploration of drone infrastructure for large-scale delivery services

Park

Zhang

Chakraborty

2016

Proceedings of the 35th International Conference on Computer-Aided Design

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Drones, also referred to as unmanned aerial vehicles (UAVs), are recently expanding their field of usage beyond military surveillance and tactical applications. Commercial drone delivery service is one of the promising applications in the near future, and a number of companies are already pushing forward the legal and technical barriers to realize the concept. Unlike conventional applications of drones, the success of a commercial application depends critically on the profitability. The major sources of expense are the electricity cost and battery purchasing cost due to aging. Hence, it is crucial to maximize the energy efficiency and mitigate battery aging of the drone delivery business. However, no prior work has extensively assessed the problem for the business as a whole. This paper, for the first time, proposes a holistic and detailed analysis on the profitability and time to delivery of the drone delivery business. This paper identifies the major design parameters and runtime management potentials that affect the profitability and time to delivery of the business. We have implemented a discrete event simulator based on detailed models of the comprising components. We perform a design space exploration to understand the effects of the various battery configurations, battery attachment technique, drone flight speed, etc., on time to delivery, electricity cost, and battery purchasing cost. Our results show that such control knobs have a significant impact on the time to delivery and the operating cost of the business.

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Section: Component Modelsmentioning

confidence: 99%

Section: Component Modelsmentioning

confidence: 99%

Design space exploration of drone infrastructure for large-scale delivery services

Park

Zhang

Chakraborty

2016

Proceedings of the 35th International Conference on Computer-Aided Design

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“…Finally, while we are one of the first to demonstrate charging of ground sensors from an aerial robot, the reverse problem of how to power an aerial vehicle was looked at in 1964 to wirelessly power a flying helicopter [14] and in 2011 was used to enable a 12 hour, record-length quad-rotor flight [15]. …”

Section: Related Workmentioning

confidence: 99%

Experimental Analysis of a UAV-Based Wireless Power Transfer Localization System

Mittleider

Griffin

Detweiler

2015

Experimental Robotics

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Abstract. Sensors deployed in remote locations provide unprecedented amounts of data, but powering these sensors over long periods remains a challenge. In this paper, we develop and present a UAV-based wireless power transfer system. We discuss design considerations and present our system that allows a UAV to fly to remote locations to charge hard to access sensors. We analyze the impact of different materials on the wireless power transfer system. Since GPS does not provide sufficient accuracy, we develop and experimentally characterize a relative localization algorithm based on sensing the magnetic field of the power transfer system and optical flow that allows the UAV to localize the sensor with an average error of 15 cm to enable the transfer of on average 4.2 W . These results overcome some of the practical challenges associated with wirelessly charging sensors with a UAV and show that UAVs with wireless power transfer systems can greatly extend the life of remotely deployed sensors.

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“…A common limitation to the quadcopters is the battery life during flight [4], and our homemade quadcopter usually fly about 20 minutes with its on-board battery. With this constraint, the best method for automatic landing is to hire the afore-mentioned technique.…”

Section: Introductionmentioning

confidence: 99%

Auto Landing Process for Autonomous Flying Robot by Using Image Processing Based on Edge Detection

Sefidgari¹,

Shamchi²

2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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Design of a flexible high performance quadcopter platform breaking the MAV endurance record with laser power beaming

Cited by 71 publications

References 7 publications

Design space exploration of drone infrastructure for large-scale delivery services

Design space exploration of drone infrastructure for large-scale delivery services

Experimental Analysis of a UAV-Based Wireless Power Transfer Localization System

Auto Landing Process for Autonomous Flying Robot by Using Image Processing Based on Edge Detection

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