10.4 Conclusion
The road test data show that the AMT gives out less unnecessary shift, and the gear positions in “turn road”, “sharp down”, “deceleration”, “bump road” are better than the one using common two parameter shift schedule in all situations. These prove that the method improves the adaptation of AMT to the road. In the assessment the AMT obtained higher score than that with the traditional shift schedules. The subject assessment of functions is very important to cars. Generally, the road environment and intention information can be introduced into GPD and the performance of the AMT with the GPD are improved. The GPD model is general and practical.
Our future work is to focus on the self-adjusting ability of GPD, i.e. the ability to adapt to vehicle character change and different drivers.
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References
H. Yashimura, and A. Hirako, “Automated mechanical transmission control,” in Proc. of the International Congress on Transportation Electronics, Dearborn, USA, 1986, pp 179–189.
Guihe Qin, Juxin Fan, Hongkun Zhang, and Anlin Ge, “Microcomputer control system of automated mechanical transmission,” Qiche Gongcheng/Chinese Automotive Engineering, Vol. 21, No. 1, Jan. 1999, pp 21–25.
H.S. Jo, S.T. Jo, J.M. Lee, and Y.I. Park, “Analysis of the shift characteristics of a automated manual transmission in the parallel type hybrid drive train system of a transit bus,” Heavy Vehicle Systems, Vol. 8, No. 1, 2001, pp 60–82.
J. Fredriksson, and B. Egardt, “Nonlinear control applied to gear shifting in automated manual transmissions,” in Proc. of the IEEE Conference on Decision and Control, Vol. 1, Sydney, 2000, pp 444–449.
H. Tanaka, and H. Wada, “Fuzzy control of clutch engagement for automated manual transmission,” Vehicle System Dynamics, Vol. 24, 4–5, 1995.
R.C. Holmes, R.R. Smyth, and D. Speranza, “Automation of mechanical transmissions”, in Proc. of the International congress on transportation electronics, Dearborn, USA, 1984, pp 11–23.
R.C. Holmes, R.R. Smyth, and D. Speranza, “Manual transmission converted to automatic”, Automotive engineering, Vol. 92, No. 1, 1984, pp 67–74.
Anlin Ge, Vehicle Automatic Transmission Theory and Design. Mechanical Industry Publishing House, Beijing, 1993, Chapter 4.
Anlin Ge, Jiaji Jiang, Wenzhi Wu, and Jianghang Chen, “Research on dynamic 3-parameter shift schedule of automatic transmission”, in Proc. of the 6th International Pacific Conference on Automotive Engineering, Seoul, South Korea, 1991, pp 303–312.
H. Yamaguchi, etc., “Automatic Transmission Shift Schedule Control Using Fuzzy Logic,” SAE paper 930674, 1993
H.G. Weil, G. Probst, and F. Graf, “Fuzzy expert system for automatic transmission control Control Applications,” in Proc. of 1st IEEE Conference on Fuzzy Systems, Vol. 2, 1992, pp 716–721.
A. Bastian, S. Tano, T. Oyama, and T. Arnould, “FATE: fuzzy logic automatic transmission expert system,” in Proceedings of 1995 IEEE International Conference on Fuzzy Systems and the 2nd International Fuzzy Engineering Symposium, Vol. 5, 1995, pp 5–6.
S. Sakaguchi, I. Sakai, and T. Haga, “Application of fuzzy logic to shift scheduling method for automatic transmission,” in Proc. 2nd IEEE International Conference on Fuzzy Systems, Vol. 1, 1993. pp 52–58.
F. Graf, and W. Hauptmann, “Automotive Powertrain Control with Fuzzy Logic,” Chapter 6 of “Applications of Fuzzy Logic: Towards High Machine Intelligence Quotient Systems”, Prentice Hall PTR, Edited by M. Jamshidi, A. Titli, L.A. Zadeh and S. Boverie,1997, pp 109–129.
Y. Shimizu, S.D. Taniguti, Y. Kondo, A. Hayasi and K. Hirako, “Neuro-fuzzy Optimal Down Hill Driving Control for Automated Gear Shift System,” in Proc. of the 1995 Artificial Neural Networks in Engineering, ANNIE’95, St. Louis, USA, 1995, pp 563–568.
K. Hayashi, Y. Shimizu, T. Yasuhiko and A.A. Hirako, “Neur0-fuzzy Transmission Control for Automobile with Variable Loads,” IEEE Transactions on Control Systems Technology, Vol. 3, No. 1, Mar, 1995, pp 49–52.
Han-Sang Jo, Yeong-Il Park, and Jang-Moo Lee, “Development of an advanced shift control algorithm for a hybrid vehicles with automated manual transmission,” Heavy Vehicle Systems, Vol. 7, No. 4, 2000.
Yao Zhao, Automotive Driver Handbook. Renmin Transportation Publishing House, Beijing, 1989, Chapter 2.
C.J. Harris, C.G. Moore, and M. Brown, Intelligent Control: Aspects of Fuzzy Logic and neural Nets. Woed Scientific Publishing Co. Pte. Ltd, Chapter 1.
Guihe Qin, “Study on the Control Technology and Development of Control System of Automated Manual Transmission,” Ph.D. Dissertation, Jilin University of Technology, 1997.
Guihe Qin, Hongkun Zhang, Yulong Lei, and Anlin Ge, “Gear position decision method of automated mechanical transmission based on fuzzy inference,” Chinese Journal of Mechanical Engineering (English Edition), Vol. 12, No. 1, 1999, pp 76–80
Peizhuang Wang, and Hongxing Li, Fuzzy System: Theory and Fuzzy Computer, Science Publishing House, Beijing, 1996, Chapter 3.
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Qin, G., Ge, A., Lee, JJ. (2006). Fuzzy Logic Control for Automobiles I: Knowledge-based Gear-position Decision. In: Bai, Y., Zhuang, H., Wang, D. (eds) Advanced Fuzzy Logic Technologies in Industrial Applications. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-84628-469-4_10
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