Bao Kezhu
ABSTRACT
Good riding comfort is one of the important factors to ensure the stable operation of unmanned vehicles in complex environment. In order to study the riding comfort of a wheel-tracked unmanned vehicle, a seven-degree-freedom vehicle model based on the Adams-Matlab co-simulation platform was established and the control was performed under the C-level random road conditions generated by the filtered white noise method. Fuzzy PID method is utilized to control the dynamic performance of the semi-active suspension. The acceleration, suspension dynamic deflection and tire dynamic load of the unmanned vehicle are analyzed by co-simulation with the control input of random white noise. Results show that the vehicle controlled by fuzzy PID, with a speed of 20m/s on C-level road, its acceleration, suspension dynamic deflection, and tire dynamic load are reduced by 20.725%, 17.834%, and 17.637%, respectively, in comparison with the traditional passive suspension. The analysis has a definite reference value for the improvement of the riding comfort of unmanned vehicle.
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Index Terms
- CO-simulation Analysis of the riding comfort of Unmanned Vehicle Based on Fuzzy PID Control
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