Control of a Nonlinear Wing Section using Fly-by-Feel Sensing

Suryakumar, Vishvas S.; Babbar, Yogesh; Strganac, Thomas W.; Mangalam, Arun S.

doi:10.2514/6.2015-2239

Cited by 17 publications

(7 citation statements)

References 22 publications

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“…Note that higher gains will yield better system performance but will also result in larger control inputs and lower stability margins. Similar behavior of these gains on controller performance was observed in closed-loop aeroelastic wind tunnel tests [17]. The controller sensitivity to model variation is investigated by testing the control law on a "Test" configuration with a 10% reduced torsional stiffness from the baseline.…”

Section: A Open-loop Characteristicsmentioning

confidence: 66%

“…Sectional load-based feedback control methods [17] are extended to a flying wing configuration using a distributed sensing and controls architecture. Using output feedback of aerodynamic loads and inertial measurements (twist, velocities), the approach is shown to be effective in suppressing body freedom flutter of a flying wing configuration.…”

Section: Discussionmentioning

confidence: 99%

“…The initial state is computed from the pseudo-inverse of the equivalent state-space C θ matrix, Figure 7 shows that marginal stability may be achieved by simply rejecting the twist contribution through the feedforward gain K a . For low reduced frequencies, 17). Note that high K a gains may result in large control inputs.…”

Section: A Open-loop Characteristicsmentioning

confidence: 97%

“…The sign conventions and further details are found in Ref. 17. If C L is constrained to track (ξ − (a + 0.5)α ), then the first term inP is negative.…”

Section: Figure 1 Wing Instrumented With Hot-film Sensorsmentioning

confidence: 98%

“…In Ref. 17, a control approach based on aerodynamic load feedback using the trailing edge control surface was successfully tested for the suppression of Limit Cycle Oscillations (LCOs) and gust load alleviation. The controller was implemented on the Nonlinear Aeroelastic Test Apparatus (NATA) [18].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Load-Based Feedback Approach for Distributed Aeroservoelastic Control

Suryakumar

Mangalam

Babbar

et al. 2016

AIAA Atmospheric Flight Mechanics Conference

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An approach to aeroservoelastic control for flexible flight vehicles using the Fly-ByFeel (FBF) sensing concept is introduced. An essential feature of this sensing paradigm is the real-time measurement of circulation. Recent experiments have shown that sectional unsteady aerodynamic loads may be accurately estimated using the leading-edge stagnation point (LESP). Experimental demonstrations have also shown the use of this sensing concept for flutter suppression and gust load alleviation using a low-order energy-based approach. This work extends the sectional control formulation to flying wing configurations. Control objectives include suppressing Body-Freedom-Flutter phenomena. Aeroservoelastic control for this case may be accomplished using a spanwise-distributed, co-located sensing and controls architecture. Using load-based feedback, low-order control structures are shown to be effective for flutter suppression. Controller performance comparisons with conventional high-order state-feedback methods are investigated.

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Section: A Open-loop Characteristicsmentioning

confidence: 66%

Section: Discussionmentioning

confidence: 99%

Section: A Open-loop Characteristicsmentioning

confidence: 97%

“…The sign conventions and further details are found in Ref. 17. If C L is constrained to track (ξ − (a + 0.5)α ), then the first term inP is negative.…”

Section: Figure 1 Wing Instrumented With Hot-film Sensorsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Load-Based Feedback Approach for Distributed Aeroservoelastic Control

Suryakumar

Mangalam

Babbar

et al. 2016

AIAA Atmospheric Flight Mechanics Conference

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Flexible smart sensing skin for “Fly-by-Feel” morphing aircraft

Huang

Zhu

Xiong

et al. 2021

Sci. China Technol. Sci.

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Flexible smart sensing skin is a key enabling technology for the future "Fly-by-Feel" control of morphing aircraft. It represents the next-generation skin of aircraft that can exhibit a more powerful sensing function than a conventional one and could be mounted on arbitrary curvilinear surfaces, especially for advanced autonomic, morphing aircraft. Recent significant technical advances in flexible electronics have overcome many historic drawbacks of conventional smart skin, e.g., only a limited number of discrete block sensors can be integrated due to the inevitable structural damage and heavy guidelines. Herein, we review the key developments in flexible sensors technology and highlight both the state-of-the-art devices and the potential applications for the measurement of aircraft. We begin with the importance of flexible smart skin for morphing aircraft and then expand to the latest progress in various types of flexible sensors. Then we highlight flexible sensors as smart skin to measure aerodynamic parameters and monitor the structural health, and further to achieve the Fly-by-Feel control. Finally, the challenges and opportunities on flexible smart sensing skin are discussed, from the functional design to practical applications.

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Bird-inspired robotics principles as a framework for developing smart aerospace materials

Hoffmann

Chen

Cutkosky

et al. 2023

Journal of Composite Materials

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Birds are notable for their ability to seamlessly transition between different locomotory functions by dynamically leveraging their shape-shifting morphology. In contrast, the performance of aerial vehicles is constrained to a narrow flight envelope. To understand which functional morphological principles enable birds to successfully adapt to complex environments on the wing, engineers have started to develop biomimetic models of bird morphing flight, perching, aerial grasping and dynamic pursuit. These studies show how avian morphological capabilities are enabled by the biomaterial properties that make up their multifunctional biomechanical structures. The hierarchical structural design includes concepts like lightweight skeletons actuated by distributed muscles that shapeshift the body, informed by embedded sensing, combined with a soft streamlined external surface composed of thousands of overlapping feathers. In aerospace engineering, these functions are best replicated by smart materials, including composites, that incorporate sensing, actuation, communication, and computation. Here we provide a review of recently developed biohybrid, biomimetic, and bioinspired robot structural design principles. To inspire integrative smart material design, we first synthesize the new principles into an aerial robot concept to translate it into its aircraft equivalent. Promising aerospace applications include multifunctional morphing wing structures composed out of smart composites with embedded sensing, artificial muscles for robotic actuation, and fast actuating compliant structures with integrated sensors. The potential benefits of developing and mass-manufacturing these materials for future aerial robots and aircraft include improving flight performance, mission scope, and environmental resilience.

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Control of a Nonlinear Wing Section using Fly-by-Feel Sensing

Cited by 17 publications

References 22 publications

A Load-Based Feedback Approach for Distributed Aeroservoelastic Control

A Load-Based Feedback Approach for Distributed Aeroservoelastic Control

Flexible smart sensing skin for “Fly-by-Feel” morphing aircraft

Bird-inspired robotics principles as a framework for developing smart aerospace materials

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