In order to solve the
difficulty of the driver’s continuous steering project in the FSEC, the
research on the cruise control system based on the fuzzy PID control is carried
for assisting the driver’s operation. Firstly, the input and output of fuzzy
control is determined, and the fuzzy rule table is established to complete the
design of fuzzy PID control system. Secondly, the fuzzy controller is established
in MATLAB, and the fuzzy PID model is built in Simulink. After the creation of
the FSEC racing car model and the track model in the CarSim, the joint
simulation of CarSim and Simulink is carried out. Simulation results show that
the racing car equipped with the cruise control system based on fuzzy PID
control finishes the project faster than the unused car, and the vehicle speed
is more stable.
Cite this paper
Zhao, S. and Zhu, L. (2018). Cruise Control System Based on Joint Simulation of CarSim and Simulink. Open Access Library Journal, 5, e4724. doi: http://dx.doi.org/10.4236/oalib.1104724.
Liu, W.B., Huang, W., Diao, J., et al. (2015) Design and Test of Automobile Cruise System Based on PID Control. Internal Com-bustion Engine & Powerplant, 4, 29-31 47.
Liu, H.P., Long, C.J., Wan, P., et al. (2015) Fuzzy Self-Adjusting Proportion Integration Differentiation for Eppo Quadrocopter. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 1, 71-77.
Zhao, B., Dong, H. and Zhang, J. (2018) Simulation of Vehicle Driving Speed PID Control System Based on Simulink. Automobile Applied Technology, 2, 127-129.
Chen, G.G., Huang, S.W., Liu, J.C., et al. (2016) Research on Fuzzy Variable Pitch Control System for Wind Turbines Based on Simulink. Research and Exploration in Laboratory, 4, 90-94.