Prof. Matthew J. Bryant Profile

Prof. Matthew J. Bryant

Associate Professor at North Carolina State Univ

SPIE Involvement:

Conference Program Committee | Author

Publications (26)

Proceedings Article | 20 April 2022 Presentation + Paper

Experimental investigation of boundary condition effects in bipennate fluidic artificial muscle bundles

Rebecca Hart, Emily Duan, Matthew Bryant

Proceedings Volume 12041, 1204108 (2022) https://doi.org/10.1117/12.2615896

KEYWORDS: Artificial muscles, Actuators, Safety, Motion models, Connective tissue

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Proceedings Article | 20 April 2022 Presentation + Paper

Control of a dynamic load emulator for hardware-in-the-loop testing of fluidic artificial muscle bundles

Nicholas Mazzoleni, Jeong Yong Kim, Matthew Bryant

Proceedings Volume 12041, 1204106 (2022) https://doi.org/10.1117/12.2612920

KEYWORDS: Device simulation, Fluid dynamics, Robotics, Artificial muscles, Control systems, Robotic systems, Actuators, Systems modeling, Hardware in the loop testing, Roads

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Proceedings Article | 22 March 2021 Presentation + Paper

Free strain gradient reversal of a variable recruitment fluidic artificial muscle bundle

Jeong Yong Kim, Nicholas Mazzoleni, Matthew Bryant

Proceedings Volume 11586, 115860L (2021) https://doi.org/10.1117/12.2583213

KEYWORDS: Artificial muscles, Actuators, Control systems, Biomimetics

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Proceedings Article | 20 May 2020 Presentation + Paper

The effect of resistive forces in variable recruitment fluidic artificial muscle bundles: a configuration study

Nicholas Mazzoleni, Jeong Yong Kim, Matthew Bryant

Proceedings Volume 11374, 113740J (2020) https://doi.org/10.1117/12.2557907

KEYWORDS: Actuators, Artificial muscles, Data modeling, Bladder, Robotics, Tissues, Switching, Systems modeling, Aerospace engineering, Energy efficiency

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The use of soft, compliant actuators has recently gained research attention as a potential approach to improve human-robot interaction compatibility. Fluidic artificial muscles, or McKibben actuators, are a popular class of soft actuator due to their low cost and high force-to-weight ratio. However, traditional McKibben actuators face efficiency problems, as in most actuation schemes, the actuator is sized for the largest possible load, resulting in energy loss when operating at lower force regimes. To address this issue, our group has developed a bio-inspired actuation strategy called variable recruitment. In variable recruitment, actuators are placed within a bundle and can be sequentially activated depending on the required load. This strategy mimics the hierarchical architecture of mammalian muscle tissue and improves system efficiency and bandwidth while allowing for variable stiffness properties. Previous variable recruitment models and controllers assume that the force output of each actuator is independent and that these forces sum to provide the total bundle force. However, our recent work has shown that there is significant interaction between actuators within a bundle, particularly at lower recruitment states. This is because at these states, inactive or partially activated actuators resist bundle motion and reduce total force production. In this paper, we study these resistive effects at low recruitment states by considering two different variable recruitment configurations: a fixed-end configuration (with resistive forces) and a tendon configuration (designed with tendons to eliminate resistive forces). We then assess the tradeoffs between the two configurations. We found that while using the tendon configuration eliminates resistive forces, if we consider both configurations with the same overall system length, the tendon configuration has less overall system free strain because its FAMs have to be shorter than those of the fixed-end configuration. However, despite this difference in free strain, our results still show that the tendon configuration can have higher maximum load capacity and efficiency than the fixed-end configuration and that the specific application and system requirements will dictate the proper configuration choice.

Proceedings Article | 21 March 2019 Presentation + Paper

Toward synergistic performance of integrated solar-wind hybrid energy harvesting structures

Nicholas Mazzoleni, Matthew Bryant

Proceedings Volume 10967, 109670R (2019) https://doi.org/10.1117/12.2514123

KEYWORDS: Smart materials, Solar energy, Wind energy, Energy harvesting, Wind measurement, Thin film solar cells, Intelligence systems, Aerodynamics, Thin films, Electromagnetism, Sun

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Proceedings Article | 13 March 2019 Presentation + Paper

Bio-inspired orderly recruitment valve for fluidic artificial muscles

Dheeraj Vemula, Matthew Bryant

Proceedings Volume 10965, 109650P (2019) https://doi.org/10.1117/12.2514413

KEYWORDS: Systems modeling, Control systems, Artificial muscles, Actuators, Fluid dynamics, Biomimetics, Performance modeling, Picosecond phenomena, Analytical research, Device simulation

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Proceedings Article | 13 March 2019 Presentation + Paper

Variable stiffness soft robotics using pennate muscle architecture

Tyler Jenkins, Matthew Bryant

Proceedings Volume 10965, 1096505 (2019) https://doi.org/10.1117/12.2514265

KEYWORDS: Actuators, Robotics, Biomimetics, Kinematics, Artificial muscles, Safety

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Proceedings Article | 27 March 2018 Paper

Bio-inspired passive variable recruitment of fluidic artificial muscles

Edward Chapman, Matthew Bryant

Proceedings Volume 10593, 105930Y (2018) https://doi.org/10.1117/12.2296024

KEYWORDS: Artificial muscles, Biomimetics, Actuators, Bladder, Neurons, Biological research, Computer programming, Animal model studies, Control systems, Space operations

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Proceedings Article | 11 April 2017 Presentation + Paper

Experimental investigation of flow induced limit cycle oscillations in a tensioned ribbon

Punnag Chatterjee, Nicholas Mazzoleni, Matthew Bryant

Proceedings Volume 10164, 1016402 (2017) https://doi.org/10.1117/12.2260184

KEYWORDS: Energy harvesting, Wind energy, Solar energy, Data centers, Data modeling, Wind measurement, Instrument modeling, Data acquisition, Intelligence systems, Statistical modeling

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Proceedings Article | 11 April 2017 Paper

Experimental investigation of low aspect ratio, large amplitude, aeroelastic energy harvesting systems

Benjamin Kirschmeier, Jacob Summerour, Matthew Bryant

Proceedings Volume 10164, 101641F (2017) https://doi.org/10.1117/12.2258678

KEYWORDS: Wind turbine technology, Energy harvesting, Aerodynamics, Renewable energy, Wind energy, Motion models, Systems modeling, Signal processing, Wind measurement, Liquid crystal on silicon, Picosecond phenomena, Analytical research, Physics

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Proceedings Article | 15 April 2016 Presentation + Paper

Aeroelastic modelling of a Piezo-solar tensioned energy harvesting ribbon

Punnag Chatterjee, Matthew Bryant

Proceedings Volume 9799, 979914 (2016) https://doi.org/10.1117/12.2222109

KEYWORDS: Energy harvesting, Aerodynamics, Modeling, Solar energy, Wind energy, Systems modeling, Matrices, Fourier transforms, Solar radiation models, Transducers

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Proceedings Article | 15 April 2016 Paper

Variable buoyancy system for unmanned multi-domain vehicles

Marc MacLeod, Matthew Bryant

Proceedings Volume 9799, 979927 (2016) https://doi.org/10.1117/12.2219289

KEYWORDS: Water, Actuators, Bladder, Unmanned aerial vehicles, Oceanography, Dynamical systems, Systems modeling, Energy efficiency, Servomechanisms, Receivers, Fluid dynamics, Control systems, Prototyping, Unmanned vehicles, Floods

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Proceedings Article | 15 April 2016 Paper

Toward efficient aeroelastic energy harvesting through limit cycle shaping

Benjamin Kirschmeier, Matthew Bryant

Proceedings Volume 9799, 979912 (2016) https://doi.org/10.1117/12.2218437

KEYWORDS: Energy harvesting, Motion models, Systems modeling, Aerodynamics, Wind energy, Biomimetics, Kinematics, Liquid crystal on silicon, Energy efficiency, Instrument modeling, Computer simulations, Optimization (mathematics)

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Proceedings Article | 15 April 2016 Presentation + Paper

Control approach development for variable recruitment artificial muscles

Tyler Jenkins, Edward Chapman, Matthew Bryant

Proceedings Volume 9799, 979911 (2016) https://doi.org/10.1117/12.2222201

KEYWORDS: Artificial muscles, Actuators, Systems modeling, Control systems, Motion models, Optimization (mathematics), Signal processing, Process control, System integration, Biomimetics, Switching, Robotics, Device simulation, Algorithm development, Nonlinear control

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Proceedings Article | 2 April 2015 Paper

Transfer matrix modeling of a tensioned piezo-solar hybrid energy harvesting ribbon

Punnag Chatterjee, Matthew Bryant

Proceedings Volume 9431, 94310D (2015) https://doi.org/10.1117/12.2086138

KEYWORDS: Energy harvesting, Beam shaping, Solar energy, Wind energy, Instrument modeling, Thin film solar cells, Thin films, Shape analysis, Autoregressive models, Systems modeling

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Proceedings Article | 26 March 2015 Paper

Soap film flow visualization investigations of oscillating wing energy harvesters

Benjamin Kirschmeier, Matthew Bryant

Proceedings Volume 9429, 94290V (2015) https://doi.org/10.1117/12.2086523

KEYWORDS: Wind energy, Camera shutters, Cameras, Visualization, Servomechanisms, Kinematics, Lutetium, Energy harvesting, Velocity measurements, Energy efficiency

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Proceedings Article | 26 March 2015 Paper

Modeling of the energy savings of variable recruitment McKibben muscle bundles

Michael Meller, Jordan Chipka, Matthew Bryant, Ephrahim Garcia

Proceedings Volume 9429, 94290S (2015) https://doi.org/10.1117/12.2084444

KEYWORDS: Actuators, Data modeling, Robots, Intelligence systems, Artificial muscles, Bladder, Systems modeling, Robotics, Gait analysis, Energy efficiency

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Proceedings Article | 1 April 2014 Paper

Energy harvesting for self-powered aerostructure actuation

Matthew Bryant, Matthew Pizzonia, Michael Mehallow, Ephrahim Garcia

Proceedings Volume 9057, 90570E (2014) https://doi.org/10.1117/12.2046408

KEYWORDS: Wind energy, Liquid crystal on silicon, Aerodynamics, Energy harvesting, Capacitors, Control systems, Wind measurement, Aerospace engineering, Actuators, Electronics

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Proceedings Article | 9 March 2014 Paper

Climbing robot actuated by meso-hydraulic artificial muscles

Matthew Bryant, Jason Fitzgerald, Samuel Miller, Jonah Saltzman, Sangkyu Kim, Yong Lin, Ephrahim Garcia

Proceedings Volume 9057, 90570H (2014) https://doi.org/10.1117/12.2046368

KEYWORDS: Artificial muscles, Computer aided design, Kinematics, Actuators, Servomechanisms, Microcontrollers, Sensors, Control systems, Robotics, Bladder

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Proceedings Article | 10 April 2013 Paper

Toward efficient aeroelastic energy harvesting: device performance comparisons and improvements through synchronized switching

Matthew Bryant, Alexander Schlichting, Ephrahim Garcia

Proceedings Volume 8688, 868807 (2013) https://doi.org/10.1117/12.2009818

KEYWORDS: Wind energy, Energy efficiency, Energy harvesting, Liquid crystal on silicon, Switching, Wind measurement, Electromagnetism, Signal detection, Electronics, Microcontrollers

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Proceedings Article | 8 April 2013 Paper

Unsteady aerodynamics in ornithopter flight

Juan Gomez, Matthew Bryant, Ephrahim Garcia

Proceedings Volume 8686, 868610 (2013) https://doi.org/10.1117/12.2009892

KEYWORDS: Aerodynamics, Data modeling, Kinematics, Chlorine, Chromium, Fluid dynamics, Mathematical modeling, 3D modeling, Motion models, Computer simulations

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Proceedings Article | 28 March 2012 Paper

Power and efficiency analysis of a flapping wing wind energy harvester

Matthew Bryant, Michael Shafer, Ephrahim Garcia

Proceedings Volume 8341, 83410E (2012) https://doi.org/10.1117/12.915344

KEYWORDS: Aerodynamics, Wind energy, Energy harvesting, Energy efficiency, Motion models, Sensors, Chlorine, Fluid dynamics, Intelligence systems, Computer simulations

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Proceedings Article | 27 April 2011 Paper

Parametric design study of an aeroelastic flutter energy harvester

Matthew Bryant, Eric Wolff, Ephrahim Garcia

Proceedings Volume 7977, 79770S (2011) https://doi.org/10.1117/12.880487

KEYWORDS: Wind energy, Aerodynamics, Epoxies, Systems modeling, Motion models, Ferroelectric materials, Energy harvesting, Matrices, Beam shaping, Sensors

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Proceedings Article | 10 April 2010 Paper

Self-powered smart blade: helicopter blade energy harvesting

Matthew Bryant, Austin Fang, Ephrahim Garcia

Proceedings Volume 7643, 764317 (2010) https://doi.org/10.1117/12.847310

KEYWORDS: Aerodynamics, Wind energy, Energy harvesting, Systems modeling, Motion models, Data modeling, Sensors, Complex systems, Sensing systems, Intelligence systems

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Proceedings Article | 21 October 2009 Paper

Energy harvesting: a key to wireless sensor nodes

Matthew Bryant, Ephrahim Garcia

Proceedings Volume 7493, 74931W (2009) https://doi.org/10.1117/12.845784

KEYWORDS: Wind energy, Energy harvesting, Aerodynamics, Sensors, Prototyping, Electromechanical design, Wind measurement, Systems modeling, Solar energy, Motion models

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Proceedings Article | 7 April 2009 Paper

Development of an aeroelastic vibration power harvester

Matthew Bryant, Ephrahim Garcia

Proceedings Volume 7288, 728812 (2009) https://doi.org/10.1117/12.815785

KEYWORDS: Wind energy, Energy harvesting, Aerodynamics, Systems modeling, Ferroelectric materials, Electromechanical design, Resistance, Beam shaping, Switching, Wind turbine technology

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