scholarly journals In Situ MIMO-WPT Recharging of UAVs Using Intelligent Flying Energy Sources

Drones ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 89
Author(s):  
Sayed Amir Hoseini ◽  
Jahan Hassan ◽  
Ayub Bokani ◽  
Salil S. Kanhere
Keyword(s):  
Energy Transfer ◽  
Precision Agriculture ◽  
Multiple Input Multiple Output ◽  
Flight Time ◽  
Power Transfer ◽  
Wireless Power ◽  
Energy Beam ◽  
Mimo Antennas ◽  
Policy Optimization

Unmanned Aerial Vehicles (UAVs), used in civilian applications such as emergency medical deliveries, precision agriculture, wireless communication provisioning, etc., face the challenge of limited flight time due to their reliance on the on-board battery. Therefore, developing efficient mechanisms for in situ power transfer to recharge UAV batteries holds potential to extend their mission time. In this paper, we study the use of the far-field wireless power transfer (WPT) technique from specialized, transmitter UAVs (tUAVs) carrying Multiple Input Multiple Output (MIMO) antennas for transferring wireless power to receiver UAVs (rUAVs) in a mission. The tUAVs can fly and adjust their distance to the rUAVs to maximize energy transfer gain. The use of MIMO antennas further boosts the energy reception by narrowing the energy beam toward the rUAVs. The complexity of their dynamic operating environment increases with the growing number of tUAVs and rUAVs with varying levels of energy consumption and residual power. We propose an intelligent trajectory selection algorithm for the tUAVs based on a deep reinforcement learning model called Proximal Policy Optimization (PPO) to optimize the energy transfer gain. The simulation results demonstrate that the PPO-based system achieves about a tenfold increase in flight time for a set of realistic transmit power, distance, sub-band number and antenna numbers. Further, PPO outperforms the benchmark movement strategies of “Traveling Salesman Problem” and “Low Battery First” when used by the tUAVs.

scholarly journals In-situ MIMO-WPT Recharging of UAVs Using Intelligent Flying Energy Sources

2021 ◽  
Author(s):  
Sayed Amir Hoseini ◽  
Jahan Hassan ◽  
Ayub Bokani ◽  
Salil S. Kanhere
Keyword(s):  
Energy Transfer ◽  
Precision Agriculture ◽  
Multiple Input Multiple Output ◽  
Flight Time ◽  
Power Transfer ◽  
Wireless Power ◽  
Energy Beam ◽  
Mimo Antennas ◽  
Policy Optimization

The Unmanned Aerial Vehicles (UAVs), used in civilian applications such as emergency medical deliveries, precision agriculture, wireless communication provisioning, etc., face the challenge of limited flight time due to their reliance on the on-board battery. Therefore, developing efficient mechanisms for in-situ power transfer to recharge UAV batteries hold potential in extending their mission time. In this paper, we study the use of far-field wireless power transfer (WPT) technique from specialized, transmitter UAVs (tUAVs) carrying Multiple Input Multiple Output (MIMO) antennas for transferring wireless power to receiver UAVs (rUAVs) in a mission. The tUAVs can fly and adjust their distance to the rUAVs to maximize energy transfer. The use of MIMO antennas further boost the energy reception by narrowing the energy beam toward the rUAVs. The complexity of their dynamic operating environment increases with the growing number of tUAVs, and rUAVs with varying levels of energy consumption and residual power. We propose an intelligent trajectory selection algorithm for the tUAVs based on a deep reinforcement learning model called Proximal Policy Optimization (PPO) to optimize the energy transfer gain. Simulation results demonstrate that with the use of PPO, the system achieves a tenfold flight time extension compared to no wireless recharging. Further, PPO outperforms the benchmark movement strategies of ’Traveling Salesman Problem’ and ’Low Battery First’ when used by the tUAVs.

scholarly journals Adaptive Impedance Matching Scheme for Magnetic MIMO Wireless Power Transfer System

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2788
Author(s):  
Ziyang Lu ◽  
Yubin Zhao ◽  
Dunge Liu
Keyword(s):  
Energy Transfer ◽  
Power Transmission ◽  
Impedance Matching ◽  
Multiple Input Multiple Output ◽  
High Energy ◽  
Power Transfer ◽  
Wireless Power ◽  
Matching Network ◽  
Input Multiple Output ◽  
Power Transfer Efficiency

In coupled magnetic resonance (CMR) wireless energy transfer systems, the energy transfer power is low and the power transfer efficiency changes with the coil position. One reason for this reduction in power and efficiency is the impedance mismatching (IM) between the Tx and Rx coils; achieving impedance matching for multiple-input multiple-output (MIMO) CMR IM wireless power transmission (WPT) is quite complex due to the uncertainty in the number of coils and the interaction between coils. In this paper, we provide an analytical model of MIMO CMR which fully formulates the complex relationship between multiple Tx and Rx channels. Then, we design an impedance matching network (IMN) for MIMO CMR and derive an optimal IM solution. Base on this solution, we also develop an adaptive impedance matching scheme to control IMN, based on an automatic analysis of MIMO CMR system; the resulting control scheme achieves optimal values for transmission power and efficiency through IMN and coil selection. The simulation results indicate that the scheme is able to automatically adjust the impedance matching network according to the changes of the relative positions between Tx and Rx coils to achieve high energy transfer power and efficiency.

Wireless Power Transfer Through Soil Over a Range of Moisture Levels for In-Situ Soil Health Monitoring

2021 ◽  
Author(s):  
Weijie Luo ◽  
Aidan Jackson ◽  
Jack Sorensen ◽  
Archana Dahal ◽  
Ramesh Goel ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Soil Health ◽  
Wireless Power Transfer ◽  
Power Transfer ◽  
Wireless Power

Implementation of a MIMO system for Wireless Power Transfer Using Acoustic Approach

2016 ◽  
Vol 7 (3) ◽  
pp. 946 ◽  
Author(s):  
Thoriq Zaid ◽  
Shakir Saat ◽  
Norezmi Jamal ◽  
Siti Huzaimah Husin ◽  
Yusmarnita Yusof ◽  
...  
Keyword(s):  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Power Converter ◽  
Acoustic Energy ◽  
Power Transfer ◽  
Wireless Power ◽  
Received Power ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Experimental Works

<span>This paper presents a development of Acoustic energy transfer (AET) system through the air medium by implementing a Multiple Input-Multiple Output (MIMO) arrangement of transducers to transmit energy. AET system allows power to be transmitted without wire connection. The MIMO system is proposed in this paper to increase the efficiency of the transmitting power by multiplying the received power. The simulation and experimental works are carried out using a Class E power converter and the obtained results are analyzed accordingly. Based on the experimental results, the 18.57mW output power is obtained at 40kHz operating frequency when triple transducer is used. It  contributes to 30.96% efficiency to the power transfer system.</span>

scholarly journals Method for Estimating Time of Wireless Transfer of Energy Resources Between Two Robots

2021 ◽  
Vol 20 (6) ◽  
pp. 1279-1306
Author(s):  
Aleksei Erashov ◽  
Konstantin Kamynin ◽  
Konstantin Krestovnikov ◽  
Anton Saveliev
Keyword(s):  
Energy Transfer ◽  
Vision System ◽  
Robot Vision ◽  
Wireless Power Transfer ◽  
Energy Resources ◽  
Transfer System ◽  
Power Transfer ◽  
Wireless Power ◽  
Autonomous Operation ◽  
Working Space

The energy capacity of the batteries used as the main power source in mobile robotic devices determines the autonomous operation of the robot. To plan the execution of tasks by a group of robotic tools in terms of time consumption, it is important to take into account the time during which the battery of each individual robot is charged. When using wireless power transfer, this time depends on the efficiency of the power transfer system, on the power of the transferring part of the system, as well as on the level of charge required to recharge. In this paper, we propose a method for estimating the time of transfer of energy resources between two robots, taking into account these parameters. The proposed method takes into account the application of the algorithm for the final positioning of robots, the assessment of linear offsets between robots, includes the calculation of efficiency, as well as the determination of the battery charge time, taking into account the parameters obtained at the previous stages of the method. The final positioning algorithm for robots uses algorithms for processing data from a robot vision system to search for fiducial markers and determine their spatial characteristics to ensure the final positioning of mobile robotic platforms. These characteristics are also used to determine the linear offsets between robots, on which the efficiency of energy transfer depends. To determine it, the method uses a mathematical model of the energy characteristics of the wireless power transfer system and the obtained linear offsets. At the last stage of the method, the time for charging the battery of the mobile robot is calculated, taking into account the data from the previous stages. Application of the proposed method to simulate the positioning of robots in a certain set of points in the working space will reduce the time spent on charging the robot battery when using wireless power transfer. As a result of the simulation, it was determined that the transfer of energy resources between robots took place with an efficiency in the range from 58.11% to 68.22%, and out of 14 positioning points, 3 were identified with the shortest energy transfer time.

Wood-templated Unidirectional Piezoceramic Composite for Transmuscular Ultrasonic Wireless Power Transfer

2021 ◽  
Author(s):  
Ying Hong ◽  
Lihan Jin ◽  
Biao Wang ◽  
Junchen Liao ◽  
Bing He ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Human Body ◽  
Wireless Power Transfer ◽  
Power Transfer ◽  
Wireless Power ◽  
Wireless Energy Transfer

Bioelectronic devices implanted within the human body are increasingly used for diagnostic and therapeutic purposes, of which functions and lifespan could be significantly improved with the wireless energy transfer technology....

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