Accession Number : ADA304464
Title : Flow Control with 'Smart Walls'.
Descriptive Note : Final rept. 1 Jul 92-30 Jun 95,
Corporate Author : OHIO STATE UNIV RESEARCH FOUNDATION COLUMBUS
Personal Author(s) : Herbert, Thorwald
PDF Url : ADA304464
Report Date : 29 NOV 1995
Pagination or Media Count : 11
Abstract : We have conducted a study of 'smart walls' which combines microelectromechanical sensors and actuators with a neural network controller in a single layer of silicon for active flow control. We have determined the optimum arrangement of sensors and actuators for a single neural network controller under the influence of noise. With sensors and actuator implemented in hardware and the neural network simulated by computer, wind-tunnel experiments have demonstrated that the control unit is capable of controlling TS waves and wave packets. The experimental results are in good agreement with our previous numerical simulations of the control process. Using DNS for realistic actuator configurations, we have developed an efficient procedure to provide training data for the network controller. In preparation for a smart wall with multiple control units, we have developed DNS-based techniques to analyze the flow response to multiple actuator movements
Descriptors : *NEURAL NETS, *AVIATION FUELS, *ENERGY CONSERVATION, *LAMINAR FLOW, *DRAG REDUCTION, CONTROL SYSTEMS, DETECTORS, TRAINING, LAYERS, NUMERICAL ANALYSIS, EFFICIENCY, ELECTROMECHANICAL DEVICES, SILICON, CONFIGURATIONS, MICROELECTRONICS, WIND TUNNEL TESTS, AERODYNAMIC DRAG, FUEL CONSUMPTION, WALLS, ACTUATORS, NOISE, SKIN FRICTION, WAVE PACKETS.
Subject Categories : Aerodynamics
Distribution Statement : APPROVED FOR PUBLIC RELEASE