Multi-Source Power Harvester for Cyborg Micro Air Vehicle

2010 ◽  
Author(s):  
Rashi Tiwari ◽  
Alex Schlichting ◽  
John Henry Harris ◽  
Timothy Reissman ◽  
Ephrahim Garcia
Keyword(s):  
Energy Harvesting ◽  
Flight Control ◽  
Energy Harvester ◽  
Photovoltaic Cells ◽  
Micro Air Vehicle ◽  
Ambient Light ◽  
Source Power ◽  
Air Vehicle ◽  
Power Harvester ◽  
Energy Harvesting System

The purpose of the reported research is to study the implementation of a sub-one gram, multisource energy harvester, for use on a Cyborg Micro Air Vehicle (CMAV). The CMAV would combine a biological flight platform with onboard communications, flight control, and power generation, providing a useful surveillance and reconnaissance vehicle. The biological platform chosen in this research is the Manduca sexta (Hawkmoth). A multisource energy harvester consisting of photovoltaic cells and a piezoceramic beam is discussed, enabling energy harvesting from vibration as well as ambient light. This paper discusses the results of those investigations and addresses the difficulties in creating the energy harvesting system.

Improving In-Flight Learning in a Flapping Wing Micro Air Vehicle

2016 ◽  
Vol 4 (1) ◽  
pp. 62-75
Author(s):  
Monica Sam ◽  
Sanjay Boddhu ◽  
Kayleigh Duncan ◽  
Hermanus Botha ◽  
John Gallagher
Keyword(s):  
Evolutionary Algorithms ◽  
Control Problem ◽  
Flight Control ◽  
Search Space ◽  
Flapping Wing ◽  
Micro Air Vehicle ◽  
Flight Trajectory ◽  
Air Vehicle ◽  
Major Criterion ◽  
Sampling Approach

Much effort has gone into improving the performance of evolutionary algorithms that augment traditional control in a Flapping Wing Micro Air Vehicle. An EA applied to such a vehicle in flight is expected to evolve solutions quickly to prevent disruptions in following the desired flight trajectory. Time to evolve solutions therefore is a major criterion by which performance of an algorithm is evaluated. This paper presents results of applying an assortment of different evolutionary algorithms to the problem. This paper also presents some discussion on which choices for representation and algorithm parameters would be optimal for the flight control problem and the rationale behind it. The authors also present a guided sampling approach of the search space to make use of the redundancy of workable solutions found in the search space. This approach has been demonstrated to improve learning times when applied to the problem.

Performance Analysis of Piezoelectric Energy Harvesting in Pavement: Laboratory Testing and Field Simulation

2019 ◽  
Vol 2673 (3) ◽  
pp. 115-124 ◽  
Author(s):  
Abbas F. Jasim ◽  
Hao Wang ◽  
Greg Yesner ◽  
Ahmad Safari ◽  
Pat Szary
Keyword(s):  
Energy Harvesting ◽  
Power Output ◽  
Laboratory Testing ◽  
Energy Harvester ◽  
Total Power ◽  
Piezoelectric Energy Harvesting ◽  
Loading Frequency ◽  
Vehicle Speed ◽  
Piezoelectric Energy ◽  
Energy Harvesting System

This study investigated the energy harvesting performance of a piezoelectric module in asphalt pavements through laboratory testing and multi-physics based simulation. The energy harvester module was assembled with layers of Bridge transducers and tested in the laboratory. A decoupled approach was used to study the interaction between the energy harvester and the surrounding pavement. The effects of embedment location, vehicle speed, and temperature on energy harvesting performance were investigated. The analysis findings indicate that the embedment location and vehicle speed affects the resulted power output of the piezoelectric energy harvesting system. The embedment depth of the energy module affects both the magnitude and frequency of stress pulse on top of the energy module induced by tire loading. On the other hand, higher vehicle speed causes greater loading frequency and thus greater power output; the effect of pavement temperature is negligible. The analysis of total power output before reaching fatigue failure of the energy module can be used to determine the optimum embedment location in the asphalt layer. The proposed energy harvesting system provides great potential to generate green energy from waste kinetic energy in roadway pavements. Field study is recommended to verify these findings with long-term performance monitoring of pavement with embedded energy harvesters.

On Mathematical Modeling of Piezoelectric Energy Harvesters

2014 ◽  
Vol 953-954 ◽  
pp. 655-658 ◽  
Author(s):  
Guang Qing Shang ◽  
Hong Bing Wang ◽  
Chun Hua Sun
Keyword(s):  
Mathematical Modeling ◽  
Energy Harvesting ◽  
Energy Harvester ◽  
Vibration Energy ◽  
Piezoelectric Energy Harvesting ◽  
Vibration Energy Harvester ◽  
Energy Harvesters ◽  
Piezoelectric Energy ◽  
Energy Harvesting System ◽  
Piezoelectric Vibration

Energy harvesting system has become one of important areas of ​​research and develops rapidly. How to improve the performance of the piezoelectric vibration energy harvester is a key issue in engineering applications. There are many literature on piezoelectric energy harvesting. The paper places focus on summarizing these literature of mathematical modeling of piezoelectric energy harvesting, ranging from the linear to nonlinear, from early a single mechanical degree to piezoaeroelastic problems.

Development of a tunable low-frequency vibration energy harvester and its application to a self-contained wireless fatigue crack detection sensor

2018 ◽  
Vol 18 (3) ◽  
pp. 920-933 ◽  
Author(s):  
Suyoung Yang ◽  
Sung-Youb Jung ◽  
Kiyoung Kim ◽  
Peipei Liu ◽  
Sangmin Lee ◽  
...  
Keyword(s):  
Fatigue Crack ◽  
Energy Harvesting ◽  
Crack Detection ◽  
Energy Harvester ◽  
Low Frequency ◽  
Vibration Energy ◽  
Low Frequency Vibration ◽  
Resonance Frequencies ◽  
Energy Harvesting System ◽  
Fatigue Crack Detection

In this study, a tunable electromagnetic energy harvesting system, consisting of an energy harvester and energy harvesting circuits, is developed for harnessing energy from low-frequency vibration (below 10 Hz) of a bridge, and the harvesting system is integrated with a wireless fatigue crack detection sensor. The uniqueness of the proposed energy harvesting system includes that (1) the resonance frequencies of the proposed energy harvester can be readily tuned to the resonance frequencies of a host structure, (2) an improved energy harvesting efficiency compared to other electromagnetic energy harvesters is achieved in low-frequency and vibration, and (3) high-efficiency energy harvesting circuits for rectification are developed. Furthermore, the developed energy harvesting system is integrated with an on-site wireless sensor deployed on Yeongjong Grand Bridge in South Korea for online fatigue crack detection. To the best knowledge of the authors, this is the very first study where a series of low-frequency vibration energy harvesting, rectification, and battery charging processes are demonstrated under a real field condition. The field test conducted on Yeongjong Grand Bridge, where fatigue cracks have become of a great concern, shows that the proposed energy harvester can generate a peak voltage of 2.27 V and a root mean square voltage of 0.21 V from 0.18-m/s2 root mean square acceleration at 3.05 Hz. It is estimated the proposed energy harvesting system can harness around 67.90 J for 3 weeks and an average power of 37.42 µW. The battery life of the wireless sensor is expected to extend from 1.5 to 2.2 years. The proposed energy harvesting circuits, composed of the AC–DC and boost-up converters, exhibit up to 50% battery charging efficiency when the voltage generated by the proposed energy harvester is 200 mV or higher. The proposed boost-up converter has a 100 times wider input power range than a conventional boost-up converter with a similar efficiency.

Optimizing the Electrical Power in an Energy Harvesting System

2015 ◽  
Vol 25 (12) ◽  
pp. 1550171 ◽  
Author(s):  
Mattia Coccolo ◽  
Grzegorz Litak ◽  
Jesús M. Seoane ◽  
Miguel A. F. Sanjuán
Keyword(s):  
Energy Harvesting ◽  
Kinetic Energy ◽  
High Frequency ◽  
Energy Harvester ◽  
Electrical Power ◽  
Low Frequency ◽  
Electrical Energy ◽  
Resonance Phenomenon ◽  
Vibrational Resonance ◽  
Energy Harvesting System

In this paper, we study the vibrational resonance (VR) phenomenon as a useful mechanism for energy harvesting purposes. A system, driven by a low frequency and a high frequency forcing, can give birth to the vibrational resonance phenomenon, when the two forcing amplitudes resonate and a maximum in amplitude is reached. We apply this idea to a bistable oscillator that can convert environmental kinetic energy into electrical energy, that is, an energy harvester. Normally, the VR phenomenon is studied in terms of the forcing amplitudes or of the frequencies, that are not always easy to adjust and change. Here, we study the VR generated by tuning another parameter that is possible to manipulate when the forcing values depend on the environmental conditions. We have investigated the dependence of the maximum response due to the VR for small and large variations in the forcing amplitudes and frequencies. Besides, we have plotted color coded figures in the space of the two forcing amplitudes, in which it is possible to appreciate different patterns in the electrical power generated by the system. These patterns provide useful information on the forcing amplitudes in order to produce the optimal electrical power.

scholarly journals Response Analysis of the Tristable Energy Harvester with an Uncertain Parameter

2021 ◽  
Vol 11 (21) ◽  
pp. 9979
Author(s):  
Ying Zhang ◽  
Xiaxia Duan ◽  
Yu Shi ◽  
Xiaole Yue
Keyword(s):  
Energy Harvesting ◽  
Output Voltage ◽  
Energy Harvester ◽  
Nonlinear Coefficient ◽  
Response Analysis ◽  
Slight Variation ◽  
Uncertain Parameters ◽  
Chaotic Motions ◽  
Energy Harvesting System ◽  
Nonlinear Energy

In the stage of modelling, measuring, mechanical processing and manufacturing of the nonlinear energy harvesting system, deviations and errors of system parameters are inevitable. Even slight variation of key parameters may have a significant influence on the output voltages, especially for the multi-stable nonlinear case. Therefore, the investigation of dynamic behaviors for the tristable energy harvesting system with uncertain parameters is of important value both for research and application. In this paper, the uncertainty of a tristable piezoelectric vibration energy harvester with a random coefficient ahead of the nonlinear term is studied. By using the Chebyshev polynomial approximation, this tristable energy harvesting system is first reduced into an equivalent deterministic form, the ensemble mean responses of which are derived to exhibit the stochastic behaviors. The periodic and chaotic motions, bifurcations and crises under different conditions are analyzed. The results show that the output voltage is sensitive to the uncertainty of the nonlinear coefficient, which leads to unstable behavior around the bifurcation and crisis points particularly. Exploring the influence pattern of uncertain parameters on the output voltage and avoiding the unstable parameter intervals are essential for optimizing the structure. It can further improve the efficiency of the nonlinear energy harvesting system.

Field Test and Characteristic Analysis of Railroad Track Vibration Energy Harvester

2019 ◽  
Author(s):  
Jianyong Zuo ◽  
Jie Yu ◽  
Cheng Liu ◽  
Yihao Gu ◽  
Lei Zuo ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Energy Harvester ◽  
Vibrational Energy ◽  
Railway Track ◽  
Vibration Energy ◽  
Resistive Load ◽  
Characteristic Analysis ◽  
Peak Voltage ◽  
Vibration Energy Harvester ◽  
Energy Harvesting System

Abstract Railroad vibration energy harvester has been researched and developed to harness the energy from the vibration of railway track when the trains pass. The vibrational energy could be transformed into electrical energy using mechanical motion rectification (MMR) mechanism and then further be used to power trackside equipment including sensors and some smart electrical devices. In order to test the performance of the MMR railroad energy harvesting system, a series of infield tests were conducted with a self-developed distributed measurement system in Railroad Test Lab at Tongji University. A 10V peak voltage was achieved with 8 Ohms external resistive load at the train speed of 30 km/h, which was consistent with the result of in-lab bench tests. In addition, some experience of design and installation for the motioned based energy harvesting system was gained, which can provide some references for the future improvement of railroad energy harvesting systems.

Modeling and Experimental Investigation of a Periodically Excited Hybrid Energy-Harvesting Generator

2015 ◽  
Vol 0 (0) ◽  
Author(s):  
Viktor Hofmann ◽  
Gleb Kleyman ◽  
Jens Twiefel
Keyword(s):  
Experimental Investigation ◽  
Energy Harvesting ◽  
Energy Harvester ◽  
Piezoelectric Bimorph ◽  
Electric Power Output ◽  
Hybrid Energy ◽  
Energy Harvesting System ◽  
Harmonic Components ◽  
Hybrid Energy Harvesting ◽  
Harmonic System

AbstractIn this article the modeling of a broadband energy harvester utilizing piezoelectric and electromagnetic effects for rotational applications is presented. The hybrid energy harvester consists of a one-side-clamped piezoelectric bimorph with a solenoid on the free end and is excited periodically but non-harmonically by magnets that are fixed on a rotating object. To estimate and describe the performance of the energy harvester concept a linear semi-analytical model for the bimorph and the solenoid is developed and then enhanced for non-harmonic system oscillations by decomposing them into their harmonic components. A comparison between the calculated and measurement signals of a prototype device shows great conformity. According to model-based and experimental analysis, the hybrid system has good broadband behavior regarding electric power output. That aspect makes the device a perfect energy-harvesting system for application with highly fluctuating revolution speeds like miniature wind turbines.

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