New Modular Product-Platform-Planning Approach to Design Macroscale Reconfigurable Unmanned Aerial Vehicles

2016 ◽  
Vol 53 (2) ◽  
pp. 309-322 ◽  
Author(s):  
Souma Chowdhury ◽  
Victor Maldonado ◽  
Weiyang Tong ◽  
Achille Messac
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Product Platform ◽  
Modular Product ◽  
Aerial Vehicles ◽  
Planning Approach

Comprehensive Product Platform Planning (CP3) for a Modular Family of Unmanned Aerial Vehicles

2013 ◽  
Author(s):  
Souma Chowdhury ◽  
Victor Maldonado ◽  
Weiyang Tong ◽  
Achille Messac
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Fuel Consumption ◽  
Product Family ◽  
Fuel Tank ◽  
Product Platform ◽  
Product Family Design ◽  
Product Platforms ◽  
Modular Product ◽  
Aerial Vehicles ◽  
Unit Fuel Consumption

The development of products with a modular structure, where the constituent modules could be derived from a set of common platforms to suit different market niches, provides unique engineering and economic advantages. However, the quantitative design of such modular product platforms could become significantly challenging for complex products. The Comprehensive Product Platform Planning (CP3) method facilitates effective design of such product platforms. The original CP3 method is however typically suitable for scale-based product family design. In this paper, we perform important modifications to the commonality matrix and the commonality constraint formulation in CP3 to advance its applicability to modular product family design. A commonality index (CI), defined in terms of the number of unique modules in a family, is used to quantify the commonality objective. The new CP3 method is applied to design a family of reconfigurable Unmanned Aerial Vehicles (UAVs) for civilian applications. CP3 enables the design of an optimum set of distinct modules, different groups of which could be assembled to configure twin-boom UAVs that provide three different combinations of payload capacity and endurance. The six key modules that participate in the platform planning are: (i) the fuselage/pod, (ii) the wing, (iii) the booms, (iv) the vertical tails, (v) the horizontal tail, and (vi) the fuel tank. The performance of each UAV is defined in terms of its range per unit fuel consumption. Among the best tradeoff UAV families obtained by mixed-discrete Particle Swarm Optimization, the family with the maximum commonality (CI = 0.5) required a 66% compromise of the UAVs’ range/fuel-consumption performance. The platform configuration corresponding to the maximum-commonality UAV family involved sharing of the horizontal tail and fuel tank among all three UAVs and sharing of the fuselage and booms among two UAVs.

Comparison of 3D Versus 4D Path Planning for Unmanned Aerial Vehicles

2016 ◽  
Vol 66 (6) ◽  
pp. 651 ◽  
Author(s):  
Halil Cicibas ◽  
Kadir Alpaslan Demir ◽  
Nafiz Arica
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicles ◽  
Dynamic Environments ◽  
Research Model ◽  
Time Dimension ◽  
Complex Dynamic ◽  
Aerial Vehicles ◽  
Planning Approach ◽  
Spatial Dimensions ◽  
Aerial Vehicle

<p>This research compares 3D versus 4D (three spatial dimensions and the time dimension) multi-objective and multi-criteria path-planning for unmanned aerial vehicles in complex dynamic environments. In this study, we empirically analyse the performances of 3D and 4D path planning approaches. Using the empirical data, we show that the 4D approach is superior over the 3D approach especially in complex dynamic environments. The research model consisting of flight objectives and criteria is developed based on interviews with an experienced military UAV pilot and mission planner to establish realism and relevancy in unmanned aerial vehicle flight planning. Furthermore, this study incorporates one of the most comprehensive set of criteria identified during our literature search. The simulation results clearly show that the 4D path planning approach is able to provide solutions in complex dynamic environments in which the 3D approach could not find a solution.</p>

scholarly journals A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Chenxi Huang ◽  
Yisha Lan ◽  
Yuchen Liu ◽  
Wen Zhou ◽  
Hongbin Pei ◽  
...  
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicles ◽  
Artificial Potential Field ◽  
Aerial Vehicles ◽  
Dynamic Path Planning ◽  
Planning Approach ◽  
Starting Point ◽  
Moving Direction ◽  
Dynamic Path ◽  
The Cost

Dynamic path planning is one of the key procedures for unmanned aerial vehicles (UAV) to successfully fulfill the diversified missions. In this paper, we propose a new algorithm for path planning based on ant colony optimization (ACO) and artificial potential field. In the proposed algorithm, both dynamic threats and static obstacles are taken into account to generate an artificial field representing the environment for collision free path planning. To enhance the path searching efficiency, a coordinate transformation is applied to move the origin of the map to the starting point of the path and in line with the source-destination direction. Cost functions are established to represent the dynamically changing threats, and the cost value is considered as a scalar value of mobile threats which are vectors actually. In the process of searching for an optimal moving direction for UAV, the cost values of path, mobile threats, and total cost are optimized using ant optimization algorithm. The experimental results demonstrated the performance of the new proposed algorithm, which showed that a smoother planning path with the lowest cost for UAVs can be obtained through our algorithm.

A Centralized Autonomous System of Cooperation for UAVs- Monitoring and USVs- Cleaning

2019 ◽  
pp. 347-375
Author(s):  
Salima Bella ◽  
Assia Belbachir ◽  
Ghalem Belalem
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Autonomous System ◽  
Unmanned Vehicles ◽  
Pollution Level ◽  
Agent Based ◽  
Unmanned Surface Vehicles ◽  
Ocean Pollution ◽  
Aerial Vehicles ◽  
Planning Approach ◽  
Rapid Deployment

This article proposes an approach which deals with the problem of monitoring ocean pollution and cleaning dirty zones using autonomous unmanned vehicles. The authors present a cooperative agent-based planning approach for heterogeneous unmanned vehicles with different roles. Unmanned aerial vehicles (UAVs) monitor multiple ocean regions and unmanned surface vehicles (USVs) tackle the cleaning of dirty zones. Due to the rapid deployment of these unmanned vehicles, and the increase of ocean pollution, it is convenient to use a fleet of unmanned vehicles. Thus, most of the existing studies deal with the monitoring of different zones, the detection of the polluted zones and then the cleaning of the zones. In order to optimize this process, the authors' solution aims to use one UAV and one USV to reduce the pollution level of the ocean zones while taking into account the problem of fault tolerance related to these vehicles.

A Centralized Autonomous System of Cooperation for UAVs- Monitoring and USVs- Cleaning

2018 ◽  
Vol 6 (2) ◽  
pp. 50-76 ◽  
Author(s):  
Salima Bella ◽  
Assia Belbachir ◽  
Ghalem Belalem
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Autonomous System ◽  
Unmanned Vehicles ◽  
Pollution Level ◽  
Agent Based ◽  
Unmanned Surface Vehicles ◽  
Ocean Pollution ◽  
Aerial Vehicles ◽  
Planning Approach ◽  
Rapid Deployment

This article proposes an approach which deals with the problem of monitoring ocean pollution and cleaning dirty zones using autonomous unmanned vehicles. The authors present a cooperative agent-based planning approach for heterogeneous unmanned vehicles with different roles. Unmanned aerial vehicles (UAVs) monitor multiple ocean regions and unmanned surface vehicles (USVs) tackle the cleaning of dirty zones. Due to the rapid deployment of these unmanned vehicles, and the increase of ocean pollution, it is convenient to use a fleet of unmanned vehicles. Thus, most of the existing studies deal with the monitoring of different zones, the detection of the polluted zones and then the cleaning of the zones. In order to optimize this process, the authors' solution aims to use one UAV and one USV to reduce the pollution level of the ocean zones while taking into account the problem of fault tolerance related to these vehicles.

A fast path planning approach for unmanned aerial vehicles

2014 ◽  
Vol 27 (13) ◽  
pp. 3446-3460 ◽  
Author(s):  
Shidong Li ◽  
Huihua Zhou ◽  
Jia Hu ◽  
Qing Ai ◽  
Chao Cai
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
Planning Approach

scholarly journals Robust path planning for avoiding obstacles using time-environment dynamic map

2019 ◽  
Vol 53 (1-2) ◽  
pp. 214-221 ◽  
Author(s):  
Xiaolin Zhao ◽  
Yu Zhang ◽  
Boxin Zhao
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicles ◽  
Urban Space ◽  
Field Of View ◽  
A Algorithm ◽  
Aerial Vehicles ◽  
Trace Back ◽  
Planning Approach ◽  
Dynamic Map ◽  
Feasible Path

Small unmanned aerial vehicles are widely used in urban space because of its flexibility and maneuverability. However, there are full of dynamic obstacles and immobile obstacles which will affect safe flying in urban space. In this paper, a novel integrated path planning approach for unmanned aerial vehicles is presented, which is consisted of three steps. First, a time-environment dynamic map is constructed to represent obstacles by introducing time axis. Second, unmanned aerial vehicles’ flyable paths are explored based on breadth-first algorithm. Third, a path planning method using A* algorithm and local trace-back model is designed in order to discover sub-optimal feasible path rapidly in unmanned aerial vehicles’ field of view. Finally, the simulation results have illustrated that the proposed method can ensure unmanned aerial vehicles’ autonomous path planning safely and effectively in urban space crowded with obstacles.

Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

2020 ◽  
Vol 06 ◽  
pp. 44-47
Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Engine Oil ◽  
Motor Oil ◽  
Gasoline Engines ◽  
State Research Institute ◽  
Technical Requirements ◽  
Aerial Vehicles ◽  
State Research ◽  
Industrial Batch ◽  
The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

Use of unmanned aerial vehicles for identification of leakages from oil and gas pipelines

2019 ◽  
pp. 21-25
Author(s):  
L.I. Kochetkova ◽  
◽  
L.B. Senkevich ◽  
N.A. Shandra ◽  
◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Oil And Gas ◽  
Gas Pipelines ◽  
Aerial Vehicles ◽  
Oil And Gas Pipelines
Sign in / Sign up

Export Citation Format

Share Document