CDC2000 Control of Mixing in Shear Flows

Control of Mixing in Shear Flows
Home Full List of Titles 1: Proceedings of CDC2000 Discrete Event Systems Control in Communication Systems Optimal Control and Applications I Optimisation Approaches and Methods Model Predictive Control Advances in Linear Estimation Stochastic and Uncertain Systems Nonlinear Control and Applications Nonlinear Estimation and Filtering Formation Control and its Applications New Approaches to Fuzzy Control Manufacturing Systems Automotive Applications Stability Issues in Hybrid Control Recent Advances in Stochastic Networks Optimal Control and Applications II Robust Controller Design - mu, L1 and H2 Constrained and Receding Horizon Control Identification and Control around the World Markov Decision Processes Nonlinear Optimisation Observers for Nonlinear Systems Motion Planning Neural / Fuzzy Stability and Control Motor Control Control of Quantum Phenomena I Hybrid Systems Methods Control in Communication Networks Robustness and Optimisation Bumpless Transfer, Antiwindup and Saturation 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Control Integrated Control and CPU Scheduling Linear Design Techniques Adaptive Disturbance / Noise Compensation Nonlinear Model Predictive Control Sensitivity Design, Analysis and Limitations Analysis of Linear Systems Linear Matrix Inequalities in Design Lyapunov's 2nd Method Robotics: Tracking Control Lagrangian and Hamiltonian Theory Variable Structure Control Machine Vision Signal Processing Methods in Control Applied Nonlinear Control Author Index A B C D E F G H I J K L M N O P Q R S T U V W X Y Z	Overview of Some Theoretical and Experimental Results on Modeling and Control of Shear Flows Authors: Igor Mezić, Satish Narayanan, Volume: 1, Page 1709 Paper number 4901 Abstract: This paper reviews the state-of-the-art in the modeling and control of transitional and turbulent shear flows, with particular emphasis on mixing applications. The review is divided into two parts. The first part provides a literature survey of analytical and experimental approaches to the modeling and control of mixing in shear flows. The second part presents some recent results in the development of reduced-order models and model-based control of mixing in some prototypical shear flow problems. CD004901.PDF (From Author) TOP Controlling Vortex Motion And Chaotic Advection Authors: Bernd R. Noack, Igor Mezić, Andrzej Banaszuk, Volume: 1, Page 1716 Paper number 4902 Abstract: Effects of time-dependent forcing on the flow induced by a single vortex in a corner are studied. The objective of forcing is to maximize flux across the separating streamline in the flow while keeping the position of the vortex bounded within a prescribed domain. Concepts of chaotic advection andflat coordinates is employed to prove controllability using various actuation methods. Flat coordinates also alleviate the search for the optimal (flux-maximizing) vortex trajectory. A feedback law is designed to control theory are used to achieve this goal. Transformation into stabilize this trajectory. Mixing in the optimized flow is studied. CD004902.PDF (From Author) TOP Vortex Methods For The Control Of Flows Authors: Adam C. Smith, John Baillieul, Volume: 1, Page 1724 Paper number 4903 Abstract: There are a number of essential ingredients which must be brought together in order to develop a model-based control theory of boundary flows. In any such theory, models of fluid dynamics must (i) be simple enough to run in real-time, and (ii) be able to capture the physics of control actuator interaction with the fluid. Active vortex generators are one interesting candidate class of actuators which may be used together with vortex models or panel methods to broaden our understanding of flow separation control in various applications settings. While these methods offer the hope of modeling the essential aspects of the boundary flows with reasonable fidelity, their use in applications will require new (hybrid model based) approaches to simulation and control. CD004903.PDF (From Author) TOP Vortex Model For Control Of Diffuser Pressure Recovery Authors: Brianno D. Coller, Volume: 1, Page 1730 Paper number 4904 Abstract: The paper outlines an effort to develop moderate dimensional computational models of the shear instability and subsequent highly nonlinear vortex dynamics that occur in a planar diffuser. The ultimate goal is to use the model for testing and synthesis of a non-traditional approach to control that works by triggering instabilities rather than suppressing them. The models appear to capture many of the essential dynamical features, although quantitative discrepancies still need to be resolved. CD004904.PDF (From Author) TOP Actively Controlled Transverse Gas Injection Authors: Luca Cortelezzi, Jonathan King, Robert Lobbia, Robert T. M'Closkey, Ann R. Karagozian, Volume: 1, Page 1736 Paper number 4905 Abstract: We present a framework for developing a robust feedback controller to optimize the mixing characteristics associated with the actively driven jet in crossflow. We form a preliminary controller with a feed-forward loop, based on a look-up table constructed by searching the parameter space for the combination of quantities that produce optimal mixing for given crossflow conditions. This architecture has been selected to allow for the parallel effort of: 1) modeling and controlling the mean effect of the vortical structures on the mixing characteristics of the transverse jet, and 2) developing feasible controllers based on sensor and actuator dynamics. Furthermore, this architecture can be easily augmented with feedback loops to control the dynamics of plant, sensors and actuators. Preliminary results regarding modeling and identification of the actuator dynamics are presented. CD004905.PDF (From Author) TOP