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Research on Intelligent Self-Learning System for the Electro-Pneumatic Automated Manual Transmission Gear Position
Technical Paper
2014-01-1741
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In the electro-pneumatic automated mechanical transmission (AMT) system, the manufacturing, assembly, wear, replacement and other issues often lead to gear position change and some differences in various gears of transmission, which reduces the success rate and even results in abnormally working. To solve these problems, based on the intelligent control theories of fuzzy PI control, this research developed an intelligent self-learning system for the AMT gear position. This system contains the position initialization module after assembling (offline module) and the position correction module in use (online module). The system can automatically recognize gear position deviation and actively correct it, which improves the robustness of shift actuator. The precise control of shift actuator is the key of this self-learning system. However, due to the compressibility of air and uncertainty of external flexible dynamics, it is difficult to establish accurate models of the system in each stage, so conventional PID control methods have been unable to accurately control the position of shift cylinder. In this study, the flow equation of shift valve is established based on analysis of the operating principles of electronically controlled pneumatic AMT, and then a fuzzy PI control strategy is developed according to fuzzy control theory. With the platform of pure electric car equipped electrically controlled pneumatic AMT, a series of field vehicle tests were carried out and the results showed that the development of intelligent AMT shift position self-learning system can effectively achieve self-learning of shift position accurately with good consistency and higher efficiency.
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Sun, S., Li, S., Fu, Y., and Yang, C., "Research on Intelligent Self-Learning System for the Electro-Pneumatic Automated Manual Transmission Gear Position," SAE Technical Paper 2014-01-1741, 2014, https://doi.org/10.4271/2014-01-1741.Also In
References
- Link , M. , Voß , B. , Eggert , E. , and Nasdal , R. The Automated Shift Transmission (AST) - Possibilities and Limits in Production-Type Vehicles SAE Technical Paper 2001-01-0881 2001 10.4271/2001-01-0881
- Anlin , Ge. Theory and Design of automated transmission vehicles Bei Jing China Machine Press 2006
- Zhongbo , He and Hongbai , Bai AMT technology outlook Agricultural Machinery 2007 38 5 181 186
- Chunxia , Liu Research and Development on learning system of light weight bus Da Lian Dalian University of Technology 2009
- Guoliang , Tao , Wenjie , Mao , and Xuanyin , Wang Experimental study of Pneumatic servo mechanism modeling Hydraulic and pneumatic seals 1999 10
- Hongsheng , Zheng Pneumatic drive and control Bei Jing China Machine Press 1996
- Sakai I. , Aeai Y. , Hasegawa Y. et al. Shift scheduling method of automated transmission vehicles with application of fuzzy logic SAE 905049
- Xianchao , Meng , Gang , Bao and Zuwen , Wang Fuzzy PI control system of pneumatic position based on switching valve Hydraulic and pneumatic 2003 7
- Jifang , Wang and Zhengding , Lu Fuzzy control method for determining the membership function He Nan Science 2000 18 4
- Kosko , B. Fuzzy Engineering Upper Saddle River, N.J Prentice Hall Inc 1997
- Wang , L X. Fuzzy systems are universal approximators IEEE International Conference on Fuzzy Systems 1992
- Zeng , X J. and Singh , M G. Approximation theory of fuzzy systems-SISO case IEEE Trans. Fuzzy Systems 1994 2 2
- Zhongbo , He , Hongbai , Bai and Peilin , Zhang et al. Flexible experiments of electronically controlled mechanical automated transmission shift control Agricultural Machinery 2006 37 1