Aerodynamic derivatives identification for ground vehicles in crosswind using neural network and PCA

• Main Authors: Ramli, Nabilah, Jamaluddin, Hishamuddin, Mansor, Shuhaimi, Faris, Waleed Fekry
• Format: Article
• Published: Inderscience Publishers 2010
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/22840/; http://dx.doi.org/10.1504/IJVSMT.2010.033731

Principal component analysis (PCA) is employed in this study to reduce the size of the neural network input node. Neural network is used to identify the ground vehicle aerodynamic derivatives based on a recorded simple harmonic motion of a ground vehicle model. The study involves the identification...