Method for estimating transverse state of vehicle under influence of non-Gaussian noise
The invention discloses a vehicle transverse state estimation method under the influence of non-Gaussian noise, and the method comprises the steps: building a vehicle transverse state parameter estimation unit under a non-Gaussian noise state through simulink according to a seven-degree-of-freedom v...
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Main Authors | , , , , , , , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
01.12.2023
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a vehicle transverse state estimation method under the influence of non-Gaussian noise, and the method comprises the steps: building a vehicle transverse state parameter estimation unit under a non-Gaussian noise state through simulink according to a seven-degree-of-freedom vehicle dynamics model and a magic formula tire model; the vehicle transverse state parameter estimation unit builds a maximum correlation entropy square root volume Kalman filtering algorithm based on a maximum entropy criterion and square root volume Kalman filtering to estimate the vehicle transverse state so as to obtain the optimal estimation of the vehicle state; simulink and Carsim vehicle high-simulation software are jointly simulated, simulation working conditions are set as a high-speed low-attachment double-shift line and a high-speed low-attachment fishhook, and simulation verification is performed on an estimation result of the maximum correlation entropy square root cubature Kalman filtering algorithm. |
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Bibliography: | Application Number: CN202311165215 |