Paper Info
Title
Wind tunnel evaluation-based optimization for improvement of flow control by plasma actuator using kriging model-based genetic algorithm.
Abstract
A Kriging-based genetic algorithm (GA) called efficient global optimization (EGO) was employed to optimize the parameters for the operating conditions of a plasma actuator (PA). The aerodynamic performance was evaluated by wind tunnel testing to overcome the disadvantages of time-consuming numerical simulations. The developed optimization system explores the optimum waveform of parameters for AC voltage by changing the waveform automatically. The proposed system was used on the drag minimization problem around a semicircular cylinder to design the power supply for a PA. Based on the results, the optimum design and global design information were obtained while drastically reducing the number of experiments required compared to a full factorial experiment.
Year
DOI
Venue
2013
10.1109/CEC.2013.6557878
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
aerodynamics,flow control,optimisation,plasma devices,wind tunnels,AC voltage,EGO,GA,Kriging-based genetic algorithm,PA,aerodynamic,efficient global optimization,flow control,kriging model,optimum waveform,plasma actuator,power supply,time-consuming numerical simulations,wind tunnel evaluation,wind tunnel testing,efficient global optimization,experimental evaluation,genetic algorithm,plasma actuator
Kriging,Global optimization,Simulation,Computer science,Waveform,Flow control (data),Wind tunnel,Genetic algorithm,Plasma actuator,Aerodynamics
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Masahiro Kanazaki103.38
Takashi Matsuno201.01
Kengo Maeda300.68
Hiromitsu Kawazoe400.68