Factors Affecting Energy Consumption of Unmanned Aerial Vehicles: An Analysis of How Energy Consumption Changes in Relation to UAV Routing

2018 ◽  
pp. 228-238 ◽  
Author(s):  
Amila Thibbotuwawa ◽  
Peter Nielsen ◽  
Banaszak Zbigniew ◽  
Grzegorz Bocewicz
Keyword(s):  
Energy Consumption ◽  
Unmanned Aerial Vehicles ◽  
Factors Affecting ◽  
Aerial Vehicles

scholarly journals A Possible Smart Metering System Evolution for Rural and Remote Areas Employing Unmanned Aerial Vehicles and Internet of Things in Smart Grids

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1627
Author(s):  
Giovanni Battista Gaggero ◽  
Mario Marchese ◽  
Aya Moheddine ◽  
Fabio Patrone
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Unmanned Aerial Vehicles ◽  
Smart Metering ◽  
Rural And Remote ◽  
Electrical Grid ◽  
Remote Areas ◽  
Aerial Vehicles ◽  
Consumption Data ◽  
Rural And Remote Areas

The way of generating and distributing energy throughout the electrical grid to all users is evolving. The concept of Smart Grid (SG) took place to enhance the management of the electrical grid infrastructure and its functionalities from the traditional system to an improved one. To measure the energy consumption of the users is one of these functionalities that, in some countries, has already evolved from a periodical manual consumption reading to a more frequent and automatic one, leading to the concept of Smart Metering (SM). Technology improvement could be applied to the SM systems to allow, on one hand, a more efficient way to collect the energy consumption data of each user, and, on the other hand, a better distribution of the available energy through the infrastructure. Widespread communication solutions based on existing telecommunication infrastructures instead of using ad-hoc ones can be exploited for this purpose. In this paper, we recall the basic elements and the evolution of the SM network architecture focusing on how it could further improve in the near future. We report the main technologies and protocols which can be exploited for the data exchange throughout the infrastructure and the pros and cons of each solution. Finally, we propose an innovative solution as a possible evolution of the SM system. This solution is based on a set of Internet of Things (IoT) communication technologies called Low Power Wide Area Network (LPWAN) which could be employed to improve the performance of the currently used technologies and provide additional functionalities. We also propose the employment of Unmanned Aerial Vehicles (UAVs) to periodically collect energy consumption data, with evident advantages especially if employed in rural and remote areas. We show some preliminary performance results which allow assessing the feasibility of the proposed approach.

scholarly journals Comprehensive Energy Consumption Model for Unmanned Aerial Vehicles, Based on Empirical Studies of Battery Performance

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 58383-58394 ◽  
Author(s):  
Hasini Viranga Abeywickrama ◽  
Beeshanga Abewardana Jayawickrama ◽  
Ying He ◽  
Eryk Dutkiewicz
Keyword(s):  
Energy Consumption ◽  
Unmanned Aerial Vehicles ◽  
Empirical Studies ◽  
Aerial Vehicles ◽  
Energy Consumption Model ◽  
Consumption Model

scholarly journals Design and Experiment of a Deformable Bird-inspired UAV Perching Mechanism

2021 ◽  
Author(s):  
Long Bai ◽  
Hao Wang ◽  
Xiaohong Chen ◽  
Jia Zheng ◽  
Liming Xin ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Unmanned Aerial Vehicles ◽  
Acoustic Noise ◽  
Loading Capacity ◽  
Unstructured Environments ◽  
Aerial Vehicles ◽  
Different Types ◽  
Outdoor Environments ◽  
Gear Mechanism ◽  
Opening And Closing

AbstractEnergy consumption and acoustic noise can be significantly reduced through perching in the sustained flights of small Unmanned Aerial Vehicles (UAVs). However, the existing flying perching robots lack good adaptability or loading capacity in unstructured environments. Aiming at solving these problems, a deformable UAV perching mechanism with strong adaptability and high loading capacity, which is inspired by the structure and movements of birds' feet, is presented in this paper. Three elastic toes, an inverted crank slider mechanism used to realize the opening and closing movements, and a gear mechanism used to deform between two configurations are included in this mechanism. With experiments on its performance towards different objects, Results show that it can perch on various objects reliably, and its payload is more than 15 times its weight. By integrating it with a quadcopter, it can perch on different types of targets in outdoor environments, such as tree branches, cables, eaves, and spherical lamps. In addition, the energy consumption of the UAV perching system when perching on objects can be reduced to 0.015 times that of hovering.

scholarly journals Energy-aware Coverage Path Planning for Unmanned Aerial Vehicles

2020 ◽  
Author(s):  
Tauã Cabreira ◽  
Lisane Brisolara ◽  
Paulo Ferreira Jr.
Keyword(s):  
Energy Consumption ◽  
Path Planning ◽  
Unmanned Aerial Vehicles ◽  
Partial Information ◽  
State Of The Art ◽  
Energy Aware ◽  
Coverage Path Planning ◽  
Aerial Vehicles ◽  
Novel Approaches ◽  
Grid Based

Coverage Path Planning (CPP) problem is a motion planning subtopic in robotics, where it is necessary to build a path for a robot to explore every location in a given scenario. Unmanned Aerial Vehicles (UAV) have been employed in several applications related to the CPP problem. However, one of the significant limitations of UAVs is endurance, especially in multi-rotors. Minimizing energy consumption is pivotal to prolong and guarantee coverage. Thus, this work proposes energy-aware coverage path planning solutions for regular and irregular-shaped areas containing full and partial information. We consider aspects such as distance, time, turning maneuvers, and optimal speed in the UAV’s energy consumption. We propose an energy-aware spiral algorithm called E-Spiral to perform missions over regular-shaped areas. Next, we explore an energy-aware grid-based solution called EG-CPP for mapping missions over irregular-shaped areas containing no-fly zones. Finally, we present an energy-aware pheromone-based solution for patrolling missions called NC-Drone. The three novel approaches successfully address different coverage path planning scenarios, advancing the state-of-the-art in this area.

scholarly journals Environmental Factors Affecting Situation Awareness in Unmanned Aerial Vehicles

2009 ◽  
Author(s):  
Prasanna Velagapudi ◽  
Sean Owens ◽  
Paul Scerri ◽  
Michael Lewis ◽  
Katia Sycara
Keyword(s):  
Environmental Factors ◽  
Unmanned Aerial Vehicles ◽  
Situation Awareness ◽  
Factors Affecting ◽  
Aerial Vehicles

Assessing the factors affecting implementation of unmanned aerial vehicles in Indian humanitarian logistics: a g-DANP approach

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aditya Kamat ◽  
Saket Shanker ◽  
Akhilesh Barve
Keyword(s):  
Supply Chain ◽  
Unmanned Aerial Vehicles ◽  
New Technology ◽  
Analytical Data ◽  
Analytic Network Process ◽  
Humanitarian Logistics ◽  
Content Type ◽  
Factors Affecting ◽  
Aerial Vehicles ◽  
Humanitarian Supply Chain

Purpose The purpose of this paper is to analyze the factors affecting the implementation of unmanned aerial vehicles (UAVs) in Indian humanitarian logistics. The factors listed are significant as they are hindering the incorporation of this new technology into the humanitarian supply chain, thus creating inefficiencies in the humanitarian logistics sector. Design/methodology/approach This research is approached using a two-step process. In the first step, the particular barriers for UAV implementation are determined by a literature review and consultation with experts. Next, the proposed framework, a combination of grey-decision-making trial and evaluation laboratory (grey-DEMATEL) and analytic network process (ANP), i.e. g-DANP, is used to determine a hierarchical structure for the factors and sub-factors. The grey hypothesis provides sufficient analytical data to an otherwise lacking DEMATEL technique. Also, the use of ANP gives weightage to each factor, allowing us to categorize their importance further. Findings This study reveals that factors like expensive commercial solutions and high transport energy costs are significant factors of the “cause” group, whereas the uncertain cost for maintenance and repair and deficiency of high-level computing are crucial factors of the “effect” category. The mentioned factors, along with many others, are the main reasons for the delayed incorporation of UAVs in humanitarian logistics. Practical implications The results of this study present insights for humanitarian supply chain managers, UAV producers and policymakers. Those in the humanitarian logistics sector can use the findings of this study to plan for various challenges faced as they try and implement UAVs in their supply chain. Originality/value This research is unique as it analyses the general factors hindering the implementation of UAVs in Indian humanitarian logistics. The study enriches existing literature by providing an analytic approach to determine the weightage of various interrelations between the identified factors affecting UAV incorporation in the humanitarian supply chain.

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