Research on BP Based Fuzzy-PID Controller for Anti-Lock Braking System

Abstract:

Control methods of the anti-lock braking system have been researched. A BP based Fuzzy-PID controller is proposed to reduce the time and the distance during braking. Through the compare of PID controller and fuzzy-PID controller and the BP based Fuzzy-PID controller which were simulated on Matlab/Simulink, it shows that BP based Fuzzy-PID controller has shorter braking distance and less braking time. So ABS with BP based Fuzzy-PID controller will work better than traditional PID controller.

• Periodical: Applied Mechanics and Materials (Volumes 365-366)
• Pages: 401-406
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.365-366.401
• Online since: August 2013
• Authors: Yue Liu, Li Qiang Jin, Xin Lu Liang, Zhu An Zheng
• Keywords: ABS, BP Based, Braking, Fuzzy, MATLAB/SIMULINK, PID

References

[1] Yu ZhiSheng. Vehicle theory (the fifth edition)[M]. Bei Jing: Machinery Industry Press, (2009).

[2] (Germany)Manfred Mitschke. Dynamik der Kraftfahrzeuge(4. Auflage)[M]. Bei Jing: Tsinghua University Press, (2009).

[3] The fuzzy control its MARLAB application [M]. GuoLiang Zhang, Xi'an: Xi'an Jiao tong University Press, (2002).

[4] MSC. ADAMS Technology and engineering analysis instance [M]. Jun Chen, Bei Jing: China Water Power Press, (2008).

[5] Song ChuanXue, Zhou YunShan, Li YouDe. Study of Anti-lock control algorithm simulation[J]. Automotive Engineering, (1998).

[6] Wang ShuYan. Control method based on fuzzy PID controller [J]. Mechanical Science and Art, (2011).

[7] Su Ming, Fuzzy PID control and MATLAB simulation[J]. Computer Applications. (2003).

[8] Hu BaoGang, Ying Hao. Fuzzy PID control technology research and development review as well as facing issues [J]. Automation journal, (2001).

[9] Zhang JinHuan. Compare between the PID control system and the fuzzy adaptive PID control system [J]. newspaper of Wuhan University, (2005).

[10] Liu Guofu, Slip ratio based vehicle anti-lock braking system [D]. National University of Defense Technology.

[11] An YongDong, Simulink-based automobile ABS modeling simulation. Heilongjiang Institute of Technology, (2008).

[12] Zhang XiuYan, Simulink-based BP neural network research. Jiamusi University, (2007).

[13] Tao YongHua, New PID control and its applications [M]. Bei Jing: Machinery Industry Press, (1998).

[14] PID-Type Fuzzy Control for Anti-lock Brake Systems with Parameter Adaptation, Chih-Keng CHEN* and Ming-Chang SHIH**, JSME International Journal, Series C, Vol 47, No. 2, (2004).

DOI: 10.1299/jsmec.47.675

[15] Genetic fuzzy self-tuning PID controllers for antilock braking systems. Abel Badie Sharkawy, Engineering Applications of Artificial Intelligence, (2010).

DOI: 10.1016/j.engappai.2010.06.011