Design and implementation of a gasoline-electric hybrid propulsion system for a micro triple tilt-rotor VTOL UAV

Wang, Lu; Zhang, Daibing; Zhang, Jiyang; Li, Tengxiang; Hu, Tianjiang

doi:10.1109/ddcls.2017.8068112

Cited by 21 publications

(18 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is a push-broom camera which provides 1024 spatial pixels and 224 spectral bands [22]. However, due to the low signal-to-noise ratio of the first and last spectral bands, they were removed (1)(2)(3)(4)(5)(6)(7)(8)(9)(10), so that 180 bands have been retained. The original image scene covers an area of 1024 × 4967 pixels, but a much shorter scene has been cropped containing the anomalies of the scene.…”

Section: A Reference Hyperspectral Datamentioning

confidence: 99%

“…On one hand, a wireless power charge approach in order to reduce the stopping time [3]. On the other hand the use of alternative propulsion systems (or hybrid combinations of some of them), which alleviate the restrictions imposed by electric batteries in terms of autonomy, are attracting great attention from the scientific community [4]- [6]. Another important aspect to take into account when it comes to UAVs, being an autonomous vehicle, is the safety critical operation it implies.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A new comparison of hyperspectral anomaly detection algorithms for real-time applications

2016

View full text Add to dashboard Cite

Most practical hyperspectral anomaly detection (AD) applications require real-time processing for detecting complex targets from their background. This is especially critical in defense and surveillance domains, but also in many other scenarios, in which a rapid response is mandatory to save human lives. Dealing with such a high dimensionality of data requires the conception of new algorithms to ease the demanding computing performance. Pushbroom scanning represents the mainstream in hyperspectral imaging, introducing added complexity to the equation as there is no information of future pixels. In this paper, a novel technique named line-by-line anomaly detection (LbL-AD) algorithm, is presented as a way of performing real-time processing with a push-broom sensor. The sensor has been mounted on an unmanned aerial vehicle, and the acquired images, together with others from the scientific literature and synthetic ones, have been used to extensively validate the proposed algorithm in terms of accuracy, based on different metrics and processing time. Comparisons with state-of-the-art algorithms were accomplished in order to evaluate the goodness of the LbL-AD, giving as a result an outstanding performance. Index Terms-Anomaly detection (AD), hyperspectral imagery, onboard processing, push-broom sensor, unmanned aerial vehicle (UAV).

show abstract

Section: A Reference Hyperspectral Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new comparison of hyperspectral anomaly detection algorithms for real-time applications

2016

View full text Add to dashboard Cite

show abstract

“…In reference [24] the three different hybrid-electric power-plant configurations are considered and dynamic models are derived, with flight dynamics performance testing carried out on a UAV prototype.…”

Section: Introductionmentioning

confidence: 99%

Modeling, Control System Design and Preliminary Experimental Verification of a Hybrid Power Unit Suitable for Multirotor UAVs

et al. 2021

View full text Add to dashboard Cite

A key drawback of multirotor unmanned aerial vehicles (UAVs) with energy sources based solely on electrochemical batteries is related to the available on-board energy. Flight autonomy is typically limited to 15–30 min, with a flight duration upper limit of 90 min currently being achieved by high-performance battery-powered multirotor UAVs. Therefore, propulsion systems that utilize two or more different energy sources (hybrid power systems) may be considered as an alternative in order to increase the flight duration while retaining key performance benefits of battery energy storage use. The research presented in this work considers a multirotor UAV power unit, based on the internal combustion engine (ICE) powering an electricity generator (EG) connected to the common direct current (DC) bus in parallel with the lithium-polymer (LiPo) battery, and the respective modeling and identification of individual power unit subsystem, along with the dedicated control system design. Experimental verification of the proposed hybrid power unit control system has been carried out on the custom-build power unit prototype. The results show that the proposed control system combines the two power sources in a straightforward and effective way, with subsequent analysis showing that a two-fold energy density increase can be achieved with a hybrid energy source, consequently making it possible to achieve higher flight autonomy of the prospective multirotor (hover load around 1000–1400 W) equipped with such a hybrid system.

show abstract

“…A clear approach to solve the deficiencies in the quadcopter and fixed-wing UAVs would be the deployment of a hybrid design which combines the good aspects of each, thus dramatically increasing the functionality of the drone. Multiple approaches exist like the tilt-rotor [6] where the rotors can rotate between vertical and forward thrust and the tilt-wing [7] where the wings rotate along with the rotors. The tail-sitter [8] may also be considered, though it only incorporates the forward thrust motors of the fixed-wing, meaning that it is capable of VTOL but lacks any hover capability.…”

Section: Introductionmentioning

confidence: 99%

Improving the Flight Endurance of a Separate-Lift-and-Thrust Hybrid through Gaussian Process Optimization

Ng¹,

Chua²

2021

International Journal on Advanced Science, Engineering and Information Technology

View full text Add to dashboard Cite

A separate-lift-and-thrust hybrid is a modified fixed-wing drone which includes quadcopter rotors. This results in the combined capability of forwarding flight as well as vertical take-off and landing (VTOL), making it a low-cost method that can deliver substantial gains in utility. Though this is a strong point compared to other types of VTOL drones, the hybrid design may incur a significant trade-off because added weight and drag can severely reduce the drone's flight endurance. This study attempts to mitigate the impact by improving the configuration of the selection and positioning parameters. Since drag estimations are costly, a Gaussian process optimization method was performed, as it is economical with respect to the required number of iterations. A set of arbitrarily selected components was prepared for use with the optimization method, recording the relevant performance data and constructing the CAD models of the components for use in simulations. The optimization method was able to increase the estimated flight endurance to 27.99 minutes, a significant improvement compared to a set of random configurations, which only yielded 9.54 minutes at best. The respectable result was obtained even though difficulties were experienced regarding the infeasible regions that arise from the many constraints. Future implementation of this optimization approach can be further improved. It may be worthwhile to utilize a low-fidelity model from the base fixed-wing drone simulations, in contrast with using an initial zero mean for the prior of the Gaussian process.

show abstract

Design and implementation of a gasoline-electric hybrid propulsion system for a micro triple tilt-rotor VTOL UAV

Cited by 21 publications

References 9 publications

A new comparison of hyperspectral anomaly detection algorithms for real-time applications

A new comparison of hyperspectral anomaly detection algorithms for real-time applications

Modeling, Control System Design and Preliminary Experimental Verification of a Hybrid Power Unit Suitable for Multirotor UAVs

Improving the Flight Endurance of a Separate-Lift-and-Thrust Hybrid through Gaussian Process Optimization

Contact Info

Product

Resources

About