2014
DOI: 10.3390/robotics3040330
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Robust Nonlinear Regulation of Limit Cycle Oscillations in UAVs Using Synthetic Jet Actuators

Abstract: In this paper, a synthetic jet actuators (SJA)-based nonlinear robust controller is developed, which is capable of completely suppressing limit cycle oscillations (LCO) in UAV systems with parametric uncertainty in the SJA dynamics and unmodeled external disturbances. Specifically, the control law compensates for uncertainty in an input gain matrix, which results from the unknown airflow dynamics generated by the SJA. Challenges in the control design include compensation for input-multiplicative parametric unc… Show more

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Cited by 10 publications
(5 citation statements)
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References 24 publications
(37 reference statements)
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“…A straightforward proof of the above statement based on Lyapunov stability analysis can be utilized and is omitted here for brevity. Details of the proof are similar to those provided in our recent results [19,20].…”
Section: Robust Controller Developmentmentioning
confidence: 65%
See 1 more Smart Citation
“…A straightforward proof of the above statement based on Lyapunov stability analysis can be utilized and is omitted here for brevity. Details of the proof are similar to those provided in our recent results [19,20].…”
Section: Robust Controller Developmentmentioning
confidence: 65%
“…This work presents a robust nonlinear flight control strategy [19][20][21] capable of the uncertain bounded wake vortex disturbance rejection in different phases of evolution, including in-ground and out-of-ground effects. The control of the systems in the presence of uncertainties and unmodeled disturbances is used nowadays for various practical applications.…”
Section: Introductionmentioning
confidence: 99%
“…The RISE feedback was used in [19,20] for trajectory tracking control and active vibration control for quadrotor unmanned aerial vehicles (UAVs) and flexible refueling hose, respectively. In the same manner, the RISE feedback was used in [21] for suppressing limit cycle oscillations in UAVs with dynamic model uncertainty and parametric actuator uncertainty. Furthermore, the authors of [22] used RISE feedback to compensate for uncertain, nonautonomous disturbances for a class of coupled, fully-actuated underwater vehicles.…”
Section: Introductionmentioning
confidence: 99%
“…Other works consider the fact that the disturbance cannot be linear parameterized, therefore, neural network and fuzzy logic methods are called through the control design (Dixon, Zergeroglu and Dawson, 2004;Gao et al, 2018;Nafia et al, 2018). However, there are many limitations with these controllers; therefore, the integral of the sign of the error (RISE) is utilized in (Cai, de Queiroz and Dawson, 2006;Patre et al, 2006;Pedroza, MacKunis and Golubev, 2014;Shao et al, 2018;Su, Xie and Li, 2019) to dominate the limitations and yield asymptotic tracking errors.…”
Section: Introductionmentioning
confidence: 99%