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Multi-objective control of dynamic chassis considering road roughness class recognition Tongji Univ

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Liu, Xuyang, author.
Contributor:
Hu, Huize
Wu, Guangqiang
Conference Name:
SAE WCX Digital Summit (2021-04-13 : Live Online, Pennsylvania, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2021
Summary:
For the control of the semi-active suspension with continuously adjustable damping, in addition to the ride comfort, the handling and stability requirements also need to be considered,but these needs are often not met at the same time. This contradiction put forward a big challenge for the design of the controller, especially in the face of complex working conditions. Traditional controllers are mainly aimed at restraining vehicles' attitude caused by the changes in the environment or vehicle motion state, they lack adaptive adjustment to disturbances with certain statistical characteristics, so the control has a certain lag. In order to solve this problem, Adaptive Road Disturbance Fuzzy Control (ARDFC) of the semi-active suspension with continuously adjustable damping considering road roughness class identification is proposed in this paper. First based on the quarter vehicle model, the road roughness is derived according to the vertical acceleration of the wheel measured by the sensor, and then use the indirect method based on the Autocorrelation Function and the Fourier Transform to obtain the Power Spectral Density and road roughness class. In the design of fuzzy control, the road roughness class is taken as the control factor of the top layer, and then the weighting factors of the control targets of the bottom layer are calculated according to the vehicle moving state. Finally, the control targets are set to restrain the vertical acceleration of the vehicle body, the pitch and the roll, then the fuzzy rules are designed to control these different targets. In order to verify the control algorithm, a control model was built in Simulink, and co-simulated with Carsim. The test included various working conditions such as long straight lanes with different road roughness class, double line change, rapid starting and hard braking, passing bumps, et cetera Compared with skyhook control, the semi-active suspension using ARDFC can achieve better results in terms of ride comfort, handling and stability
Notes:
Vendor supplied data
Publisher Number:
2021-01-0322
Access Restriction:
Restricted for use by site license

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