TY - GEN
T1 - Research on Active Suspension System of Heavy Commercial Vehicle Controlled by PID Controller Based on Genetic Algorithm
AU - Wang, Yitong
AU - Chen, Ke
AU - Dong, Mingming
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - Heavy commercial vehicles have high requirements for ride smoothness due to their objective requirements. In order to study the characteristics of their suspension system, 1/4 passive suspension and 1/4 active suspension models were established, respectively. Firstly, the front axle data and road excitation model of the experimental sample vehicle are substituted into 1/4 passive suspension; the reliability of the simulation parameters is verified by comparing the vertical acceleration of the body with the data collected from the real vehicle vibration test. MATLAB Simulink platform was used to compare and analyze the performance of the passive suspension, traditional PID control active suspension, and genetic algorithm PID control active suspension with the body vertical acceleration, suspension dynamic travel, and suspension dynamic load as indexes. The simulation results show that the genetic algorithm PID active suspension system can improve the ride smoothness of heavy commercial vehicles, which lays a theoretical foundation for the subsequent bench test of active suspension of the front axle of heavy commercial vehicles to a certain extent.
AB - Heavy commercial vehicles have high requirements for ride smoothness due to their objective requirements. In order to study the characteristics of their suspension system, 1/4 passive suspension and 1/4 active suspension models were established, respectively. Firstly, the front axle data and road excitation model of the experimental sample vehicle are substituted into 1/4 passive suspension; the reliability of the simulation parameters is verified by comparing the vertical acceleration of the body with the data collected from the real vehicle vibration test. MATLAB Simulink platform was used to compare and analyze the performance of the passive suspension, traditional PID control active suspension, and genetic algorithm PID control active suspension with the body vertical acceleration, suspension dynamic travel, and suspension dynamic load as indexes. The simulation results show that the genetic algorithm PID active suspension system can improve the ride smoothness of heavy commercial vehicles, which lays a theoretical foundation for the subsequent bench test of active suspension of the front axle of heavy commercial vehicles to a certain extent.
UR - http://www.scopus.com/inward/record.url?scp=85128960746&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-7258-3_53
DO - 10.1007/978-981-16-7258-3_53
M3 - Conference contribution
AN - SCOPUS:85128960746
SN - 9789811672576
T3 - Springer Proceedings in Physics
SP - 555
EP - 566
BT - Advances in Precision Instruments and Optical Engineering - Proceedings of the International Conference on Precision Instruments and Optical Engineering, 2021
A2 - Liu, Guixiong
A2 - Cen, Fengjie
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Precision Instruments and Optical Engineering, PIOE 2021
Y2 - 20 August 2021 through 22 August 2021
ER -