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System identification and attitude control of motorcycle by computer-aided dynamics analysis

โœ Scribed by Yutaka Kamata; Hidekazu Nishimura

Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
190 KB
Volume
24
Category
Article
ISSN
0389-4304

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โœฆ Synopsis

System identification of the motorcycle model constructed by computer-aided dynamics analysis is introduced to design a control system for attitude stabilization of the motorcycle. The identified model can be reduced to the coupled mode system between the roll and the front steering. The front-steering control system using the roll angle is designed by H N control theory, based on the reducedorder model and the full-order model, respectively. It is verified from simulation results that the motorcycle attitude against disturbance is stabilized by the H N controller, and that the reduced-order controller exhibits efficient stabilization performance in comparison with the full-order controller.

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