Methods for promoting knowledge exchange and networking among young professionals in the aerospace sector—IAF׳s IPMC workshop 2013 insights

Monzon, Amalio; Chow, Tiffany; Guthrie, Paul; Lu, Zhuoyan; Chuma, Constant; Huang, He; Kuzkov, Sergii

doi:10.1016/j.actaastro.2015.10.006

Cited by 3 publications

(1 citation statement)

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“…The main characteristics are low density, noiselessness, miniaturization capacity, and biocompatibility 2 . For this reason, they are promising materials for a wide range of technological applications in strategic areas, such as conductive rubber composites (CRC) 3 , actuators 4,5 , sensors [6][7][8] , artificial muscles 9 , robotics 10,11 , aerospatial industry 12 , energy harvesting 13 , biomimicry 14,15 , and oil exploration 16 .…”

Section: Introductionmentioning

confidence: 99%

PI Controller for IPMC Actuators Based on Nafion®/PT Using Machine Vision for Feedback Response at Different Relative Humidities

et al. 2022

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Ionomeric Polymer-Metal Composites (IPMCs) are sandwich-like materials based in a polymeric membrane covered on both sides by metallic electrodes. Its operation mechanism consists of hydrated ions migration in response to an external electrical field generated between the electrodes, leading to a spatially nonuniform mass accumulation which causes the device to bend. Its performance as an actuator depends mainly on the environment's relative humidity and electrical stimuli. Consequently, IPMCs present variations in the electromechanical properties exhibiting nonlinearities and time-varying behaviors, limiting the major applications. For this reason, this paper investigated a PI controller performance to overcome these drawbacks and effectively control a Nafion-based IPMC-Li + exposed to different relative humidities and electrical stimulis. The PI control system uses a camera with a machine vision application as a feedback sensor. Support instrumentation was developed to control the relative humidity, apply an electrical stimulus, and measure the electromechanical response. The pattern recognition algorithm implemented in the controller is efficient, with accuracy above 95%, making the feedback sensor reliable. Therefore, the PI controller was effective, stable, and capable of controlling and characterizing IPMC devices when relative humidity was above 60% at a low-frequency displacement and avoided the undesired back-relaxation phenomenon.

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