Micro-cantilever flow sensor for small aircraft

Ghommem, Mehdi; Calo, Victor M.; Claudel, Christian

doi:10.1177/1077546313505636

Cited by 6 publications

(5 citation statements)

References 26 publications

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“…Conventional sensing systems used in aircraft use Pitot-tubes and wind vanes to attain airflow information and aerodynamic parameters. These sensing devices are bulky, heavy and expensive and this can make them unsuitable for small unmanned aerial vehicles (UAVs) [1]. Miniaturised airflow sensor systems based on arrays of distributed sensors have been designed to overcome these limitations on small and micro UAVs, e.g.…”

Section: Introductionmentioning

confidence: 99%

Simulation of a Machine Learning Based Controller for a Fixed-Wing UAV with Distributed Sensors

Guerra-Langan

Araujo-Estrada

Richards

et al. 2020

AIAA Scitech 2020 Forum

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Recent research suggests that the information obtained from arrays of sensors distributed on the wing of a fixed-wing small unmanned aerial vehicle (UAV) can provide information not available to conventional sensor suites. These arrays of sensors are capable of sensing the flow around the aircraft and it has been indicated that they could be a potential tool to improve flight control and overall flight performance. However, more work needs to be carried out to fully exploit the potential of these sensors for flight control. This work presents a 3 degreesof-freedom longitudinal flight dynamics and control simulation model of a small fixed-wing UAV. Experimental readings of an array of pressure and strain sensors distributed across the wing were integrated in the model. This study investigated the feasibility of using machine learning to control airspeed of the UAV using the readings from the sensing array, and looked into the sensor layout and its effect on the performance of the controller. It was found that an artificial neural network was able to learn to mimic a conventional airspeed controller using only distributed sensor signals, but showed better performance for controlling changes in airspeed for a constant altitude than holding airspeed during changes in altitude. The neural network could control airspeed using either pressure or strain sensor information, but having both improved robustness to increased levels of turbulence. Results showed that some strain sensors and many pressure sensors signals were not necessary to achieve good controller performance, but that the pressure sensors near the leading edge of the wing were required. Future work will focus on replacing other elements of the flight control system with machine learning elements and investigate the use of reinforcement learning in place of supervised learning.

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Section: Introductionmentioning

confidence: 99%

Simulation of a Machine Learning Based Controller for a Fixed-Wing UAV with Distributed Sensors

Guerra-Langan

Araujo-Estrada

Richards

et al. 2020

AIAA Scitech 2020 Forum

View full text Add to dashboard Cite

show abstract

“…Sensors measuring flow, vibration, and position, temperature, and humidity sensors play a major role in gathering information regarding the instability of MAVs and other environmental factors that affect the flight. MAVs designed for small and low-weight flyers require cost-effective sensors that consume low power and are small and lightweight to avoid extra payload (Ghommem et al, 2015). Most commercially used sensing materials such as strain gauges and gyroscopes are rigid and add extra weight (Bonomo et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…When the reverse phenomenon occurs by bending the IPMC using external forces, a voltage is generated between the two contacts in the electrodes (Punning et al, 2007). This effect makes IPMC work as a sensor for position (Punning et al, 2007), motion (Shahinpoor et al, 1998), vibration, and flow (Ghommem et al, 2015) and also as energy harvesters (Kwasniewski et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Analysis on enhancing the sensing behavior of ionic polymer metal composite based sensors

Swarrup

Ganguli

Madras

2020

Journal of Intelligent Material Systems and Structures

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In this paper, an in-depth analysis of IPMC (ionic polymer metal composite) as sensors is performed, motivated by application to flapping wing micro air vehicles. The effect of water uptake for different IPMC samples reveals a correlation between IPMC metal content and water uptake. The effect of introducing a mass to the end of High-frequency IPMC (HFI ∼ 20.9 Hz) sensor shows an improvement in the IPMC sensing behavior, whereas, for the Low-frequency IPMC (LFI ∼ 8.9 Hz) sensor, there is a reverse trend. Gold (Au) coating on an HFI sensor results in a decrease in resonant frequency. Different mass loaded on the Au coated HFI beams reveals that the pre-bending by adding end mass to HFI sensor is beneficial up to a specific mass level, after which the sensing voltage decreases. The optimized mass loading for the Au coated HFI is determined.

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“…The importance of micro technologies emerges with the necessity of observing, studying, measuring, controlling, manufacturing and manipulation of micro-sized elements. Micro-sized structures and systems (microscopes, super sensitive sensors, high-speed actuators) are widely used in micro-electro-mechanical systems (MEMS;Najar et al, 2010;Ghommem et al, 2013Ghommem et al, , 2015Ouakad et al, 2015). Micro structures have the aptitude to survive extreme conditions because of their high-frequency characteristics and high mechanical strength.…”

Section: Introductionmentioning

confidence: 99%

Natural vibrations of micro beams with nonrigid supports

Bambill

Guerrero

Felix

2016

Journal of Vibration and Control

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The present study aims to provide some new information for the design of micro systems. It deals with free vibrations of Bernoulli–Euler micro beams with nonrigid supports. The study is based on the formulation of the modified couple stress theory. This theory is a nonclassical continuum theory that allows one to capture the small-scale size effects in the vibrational behavior of micro structures. More realistic boundary conditions are represented with elastic edge conditions. The effect of Poisson’s ratio on the micro beam characteristics is also analyzed. The present results revealed that the characterization of real boundary conditions is much more important for micro beams than for macro beams, and this is an assessment that cannot be ignored.

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Micro-cantilever flow sensor for small aircraft

Cited by 6 publications

References 26 publications

Simulation of a Machine Learning Based Controller for a Fixed-Wing UAV with Distributed Sensors

Simulation of a Machine Learning Based Controller for a Fixed-Wing UAV with Distributed Sensors

Analysis on enhancing the sensing behavior of ionic polymer metal composite based sensors

Natural vibrations of micro beams with nonrigid supports

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