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In this paper a novel method based on the fusion of kinematics and dynamics methods is proposed to construct a Sideslip Angle Fusion Observer (SAFO).In the SAFO,three local filters output preliminary estimates of lateral velocity to a master filter.The master filter fuses the outputs of all the local filters to calculate a global sideslip angle estimation result according to the information fusion rules.The SAFO has good performance in estimation accuracy and stability in long time running.It is also advanced in robustness of sensor signal bias.The effectiveness of the SAFO is verified by vehicle test data.