Robust nonlinear aircraft tracking control using synthetic jet actuators

MacKunis, William; Subramanian, S.; Mehta, Siddhartha S.; Ton, Chau; Curtis, J. Willard; Reyhanoglu, Mahmut

doi:10.1109/cdc.2013.6759885

Cited by 23 publications

(24 citation statements)

References 28 publications

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“…Unmanned jet aircraft control has been an active area of investigation for several years, and some inertial sensors were used and supplemented by GPS [1,2,3]. This interest was motivated by the enormous military and civil applications of such aircraft.…”

Section: Introductionmentioning

confidence: 99%

Navigation and Control Based on Integral-Uncertainty Observer for Unmanned Jet Aircraft

Wang

Cai

2017

IEEE Trans. Aerosp. Electron. Syst.

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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Abstract: A nonlinear integral-uncertainty observer is presented, which can estimate the integral of measurement output signal and the uncertainty in system, synchronously. In order to be satisfied with the existing hardware computational environments and to select the parameters more easily, a simplified linear version of the nonlinear integral-uncertainty observer is also developed. The effectiveness of the proposed observers are verified through the numerical simulations and experiments: i) through the integral-uncertainty observers, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity, and the estimate results by the two observers are compared; ii) a control law is designed based on the observers to drive the jet aircraft to track a reference trajectory.

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Section: Introductionmentioning

confidence: 99%

Navigation and Control Based on Integral-Uncertainty Observer for Unmanned Jet Aircraft

Wang

Cai

2017

IEEE Trans. Aerosp. Electron. Syst.

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“…Note that based on (27) and (28), the bounding constant ρ Λ1 depends only on elements i + 1 to n of the control gain matrix k s due to the strictly upper triangular nature of T. Thus, the element μ 01 t of the control vector μ 0 t does not appear in the term Λ ρ . This fact will be utilized in the subsequent stability proof [9].…”

Section: Propertymentioning

confidence: 99%

“…To achieve this, a robust-inverse control design structure will be utilized for the voltage control signal v i t , which contains constant "best guess" estimates of the uncertain SJA parameters θ * 1i and θ * 2i . The robust-inverse control structure is given by [9] …”

Section: Robust Nonlinearity Inversementioning

confidence: 99%

“…In addition, SJAs can expand the usable range of the AoA, improving aircraft maneuverability [7]. Arrays containing multiple SJAs can be utilized to achieve aircraft tracking control [8,9]. By using SJAs as replacements for mechanical control surfaces (e.g., elevators and ailerons), radar cross-section can be reduced, and UAV weight, cost, and mechanical complexity can also be reduced.…”

Section: Introductionmentioning

confidence: 99%

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Synthetic Jet Actuator-Based Aircraft Tracking Using a Continuous Robust Nonlinear Control Strategy

Ramos-Pedroza¹,

MacKunis²,

Reyhanoglu³

2017

International Journal of Aerospace Engineering

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A robust nonlinear control law that achieves trajectory tracking control for unmanned aerial vehicles (UAVs) equipped with synthetic jet actuators (SJAs) is presented in this paper. A key challenge in the control design is that the dynamic characteristics of SJAs are nonlinear and contain parametric uncertainty. The challenge resulting from the uncertain SJA actuator parameters is mitigated via innovative algebraic manipulation in the tracking error system derivation along with a robust nonlinear control law employing constant SJA parameter estimates. A key contribution of the paper is a rigorous analysis of the range of SJA actuator parameter uncertainty within which asymptotic UAV trajectory tracking can be achieved. A rigorous stability analysis is carried out to prove semiglobal asymptotic trajectory tracking. Detailed simulation results are included to illustrate the effectiveness of the proposed control law in the presence of wind gusts and varying levels of SJA actuator parameter uncertainty.

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“…To achieve the results in [10,14], a series of adaptive parameter estimation laws are utilized along with rigorous Lyapunov-based stability analyses. Inspired by these results and motivated by the desire to investigate a more computationally minimal control strategy, our previous result in [17] was the first SJA-based tracking control approach to achieve asymptotic trajectory tracking for an aircraft using a simple (single-loop) feedback control law without the use of parameter adaptation or function approximators in the control law. A question that remains to be answered is as follows: Can a computationally minimal nonlinear SJA-based control law achieve asymptotic regulation of LCO for UAV systems in a dual-parallel underactuated form?…”

Section: Introductionmentioning

confidence: 99%

A Sliding Mode LCO Regulation Strategy for Dual-Parallel Underactuated UAV Systems Using Synthetic Jet Actuators

Ramos-Pedroza

MacKunis

Reyhanoglu

2015

International Journal of Aerospace Engineering

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A sliding mode control-(SMC-) based limit cycle oscillation (LCO) regulation method is presented, which achieves asymptotic LCO suppression for UAVs using synthetic jet actuators (SJAs). With a focus on applications involving small UAVs with limited onboard computational resources, the controller is designed with a simplistic structure, requiring no adaptive laws, function approximators, or complex calculations in the control loop. The control law is rigorously proven to achieve asymptotic regulation of both pitching and plunging displacements for a class of systems in a dual-parallel underactuated form, where a single scalar control signal simultaneously affects two states. Since dual-parallel underactuated systems cannot be expressed in a strict feedback or cascade form, standard backstepping-based control techniques cannot be applied. This difficulty is mitigated through careful algebraic manipulation in the regulation error system development, along with innovative design of the sliding surface. A detailed model of the UAV LCO dynamics is utilized, and a rigorous analysis is provided to prove asymptotic regulation of the pitching and plunging displacements. Numerical simulation results are provided to demonstrate the performance of the control law.

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Robust nonlinear aircraft tracking control using synthetic jet actuators

Cited by 23 publications

References 28 publications

Navigation and Control Based on Integral-Uncertainty Observer for Unmanned Jet Aircraft

Navigation and Control Based on Integral-Uncertainty Observer for Unmanned Jet Aircraft

Synthetic Jet Actuator-Based Aircraft Tracking Using a Continuous Robust Nonlinear Control Strategy

A Sliding Mode LCO Regulation Strategy for Dual-Parallel Underactuated UAV Systems Using Synthetic Jet Actuators

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