Abstract
Considering the running situation of automobile being complex and variable frequently, and cruise control system(CCS) having high nonlinearity and nondeterminacy, it will not obtain a good effect in all the conditions by using the method of traditional PID control. A new kind of CCS is designed based on fuzzy PID. The simulation model of dynamics system is established. By dealing with the subject functions and adjusting rules of parameters, the table of fuzzy matrix of PID parameters had been got. Adjusted the control parameters, we made a simulation contrast of the system based on fuzzy PID control and traditional PID control. The simulation results indicate the fuzzy PID controller has a better effect in keeping the speed steady.
Supported by the Key Project of Chinese Ministry of Education (No.: 208037); Scientific Research Fund of Heilongjiang Provincial Education Department (No.:11551072).
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References
Bifulco, G.N.: Experiments toward a Human-like Adaptive Cruise Control. In: 2008 Intelligent Vehicles Symposium, pp. 919–924. IEEE Press, Eindhoven (2008)
Ko, S., Lee, J.: Fuzzy Logic Based Adaptive Cruise Control with Guaranteed String Stability. In: 2007 International Conference on Control, Automation and System, pp. 15–20. IEEE Press, Seoul (2007)
Khan, A.A., Papal, N.: Fuzzy-PID controller: Design, Tuning and Comparison with Conventional PID Controller (2006)
Li, H.-X., Zhang, L., Cai, K.-Y., Chen, G.: An Improved Robust Fuzzy-PID Controller with Optimal Fuzzy Reasoning. IEEE Trans. Syst. 35 (2006)
Echegaray, S.: The Modular Design and Implementation of an Intelligent Cruise Control System. In: 19th International Conference on Systems Engineering, pp. 1–6. IEEE Press, Las Vegas (2008)
Kljuno, E., Williams II, R.L.: Vehicle Simulation System: Controls and Virtual- Reality- Based Dynamics Simulation, pp. 79–99 (2008)
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhou, M., Sun, J., Gao, H., Wang, X. (2011). Fuzzy PID Control and Simulation Analysis of Cruise Control System. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_42
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DOI: https://doi.org/10.1007/978-3-642-19853-3_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19852-6
Online ISBN: 978-3-642-19853-3
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