Adaptive flow control using slope seeking

King, Rudibert; Becker, Ralf; Feuerbach, G.; Henning, Lars; Petz, Ralf; Nitsche, W.; Lemke, O.; Neise, W.

doi:10.1109/med.2006.328753

Cited by 35 publications

(19 citation statements)

References 24 publications

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“…This paper is different in that the vehicle has no knowledge of its position or the position of the source, there is no communication between it and other entities, and it has nonholonomic dynamics. While we apply the extremum seeking methods to autonomous vehicles, many groups have used the extremum seeking method in their work outside of this field, including [9] in the soft landing of valve actuators, [10] and [11] in plasma current profiles for fusion reactors, [12] in nonlocal stability properties, [13] in adaptive flow control, [14] in separation control, [15] in active braking systems, [16] in thermoacoustic coolers, and [17] in human exercise machines.…”

Section: Literaturementioning

confidence: 99%

3-D Source Seeking for Underactuated Vehicles Without Position Measurement

Cochran¹,

Siranosian

Razavi-Ghods

et al. 2009

IEEE Trans. Robot.

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Our past work introduced source seeking methods for GPS-denied autonomous vehicles using only local signal measurement and operating in two dimensions. In this paper, we extend these results to three dimensions. The 3-D extensions introduce many interesting challenges, including the choice of vehicle models in 3-D, sensor placement to allow probing-based gradient estimation of an unknown signal field in 3-D, the question of what type of pattern of vehicle motion can be produced in an underactuated 3-D vehicle to allow tuning by single-loop or multiloop extremum seeking, and the shape of attractors, which become very complex in 3-D. We present two control schemes that address these questions. The first scheme focuses on vehicles with a constant forward velocity and the ability to actuate pitch and yaw velocities. The second scheme employs vehicles with constant forward and pitch velocities and actuate only the roll velocity. Our results include convergence analysis and simulation results.

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Section: Literaturementioning

confidence: 99%

3-D Source Seeking for Underactuated Vehicles Without Position Measurement

Cochran¹,

Siranosian

Razavi-Ghods

et al. 2009

IEEE Trans. Robot.

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“…Extremum seeking is a very effective approach to build real-time feedback controllers based on fixed-structure control laws with tunable parameters [15], [16], [17]. Due to its non-model-based nature, extremum seeking is well suited to overcome the limitations in our MHD problem in terms of uncertainty handling and is capable of capturing the input-output information of the otherwise highly complicated relationship between the control parameters and the heat exchange rate.…”

Section: Introductionmentioning

confidence: 99%

Heat exchange enhancement by extremum seeking boundary feedback control in 3D magnetohydrodynamic channel flow

Luo

Schuster

2010

49th IEEE Conference on Decision and Control (CDC)

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Electrically conducting fluids are generally favored as heat transfer media for their excellent heat conduction and high boiling point. However, the movement of such fluids under the presence of imposed transverse magnetic fields can generate substantial magnetohydrodynamics (MHD) effects including the need of higher pressure gradients to drive the fluids and lower heat transfer rates due to the laminarization of the flows. In this work we propose an active boundary control to overcome some of these unfavorable MHD effects inside a 3D MHD channel flow. Extremum seeking is used to adaptively tune a fixed-structure boundary controller to maximize in real time a cost function related to heat transfer. The closed-loop controller achieves the ultimate goal of increasing overall heat transfer rate through the channel walls, and therefore enhances the efficiency of the heat exchanger. The velocity dynamics is predicted by a pseudo-spectral solver while the temperature dynamics is predicted by a finite difference solver. Simulation results show the efficiency of the proposed controller.

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“…It can be used in many nonlinear engineering problems which have local minimums or maximums. Applications of extremum seeking to flow control include [14], [15], [16]. A small sinusoidal perturbation is added to the parameter that is being optimized and the corresponding change of the cost function is processed to decide the optimization direction.…”

Section: Introductionmentioning

confidence: 99%

Mixing enhancement in 2D magnetohydrodynamic channel flow by extremum seeking boundary control

Luo

Schuster

2009

2009 American Control Conference

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The interaction between electrically conducting fluids and magnetic fields in channel flows generates significant magnetohydrodynamics (MHD) effects, which often result in the need of higher pressure gradients to drive the fluid and lower heat transfer rates due to the laminarization of the flow. Active boundary control, either open-loop or closedloop, can be employed to overcome this limitation. Open-loop controllers are in general more sensitive to uncertainties of the system, which may result in a poorer performance. Extremum seeking is a powerful tool to tune in real time open-loop controllers, incorporating certain degree of feedback into the control scheme. In this work we combine extremum seeking with a fixed-structure open-loop controller with the ultimate goal of enhancing mixing in a 2D MHD channel by boundary actuation. We show that by carefully tuning the extremum seeking controller the modified open-loop control scheme can be as effective as previously proposed closed-loop control schemes.

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Adaptive flow control using slope seeking

Cited by 35 publications

References 24 publications

3-D Source Seeking for Underactuated Vehicles Without Position Measurement

3-D Source Seeking for Underactuated Vehicles Without Position Measurement

Heat exchange enhancement by extremum seeking boundary feedback control in 3D magnetohydrodynamic channel flow

Mixing enhancement in 2D magnetohydrodynamic channel flow by extremum seeking boundary control

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