This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Application of Intelligent Control Optimized by Genetic Algorithm in Metal-belt CVT
Technical Paper
2010-01-0372
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Speed ratio and clamping force are two of the metal-belt CVT control targets. Conventional control strategies can not correspond to the driver's intention or provide various driving environment. A fuzzy logic ratio control algorithm and a fuzzy logic clamping force control algorithm for a metal-belt CVT are proposed. Nevertheless, high-quality fuzzy control rule base and factors of FLC are difficult to gain because repeated tests and experts' experience are needed. Therefore, genetic algorithm (GA) is introduced to optimize the fuzzy control algorithms. Using the optimized fuzzy control algorithms, Metal-belt CVT control simulations were implemented. The results show that a faster response and better robustness can be gained when compared with those of the PID control.
Authors
Topic
Citation
Wu, B., Xuexun, G., Yan, J., and Sun, Q., "Application of Intelligent Control Optimized by Genetic Algorithm in Metal-belt CVT," SAE Technical Paper 2010-01-0372, 2010, https://doi.org/10.4271/2010-01-0372.Also In
References
- Kim, T. Yi, J-S. Cho, H. Kim, H. “Ratio Control of Metal Belt CVT,” SAE Technical Paper 2000-01-0842 2000
- Xuexun, G. Sun, Q. “Intelligent Control of Metal-belt CVT Based on Fuzzy Logic,” SAE Technical Paper 2009-01-1535 2009
- Heera, L. Chulsoo, K. Talchol, K. Hyunsoo, K. “CVT Ratio Algorithm by Considering Powertrain Response Lag,” SAE Technical Paper 2004-01-1636 2004
- Chang Fu “HIL Simulation Research on the Electronic Control Units of Vehicle Automatic Transmission” Wuhan University of Technology 2007
- Wang Lixin Wang Yingjun “A Course in Fuzzy Systems & Control” Tsinghua University Press 2006
- He Ren Ma Chengguang “Study of fuzzy PID control for V-belt CVT based on genetic algorithm” Machinery Design & Manufacture 1001 3997 2009 2009
- Chou Chih-Hsun “Genetic Algorithm-Based Optimal Fuzzy Controller Design in the Linguistic Space” IEEE Trans. Fuzzy System 14 3 Jun 2006
- Zhang Bo Sun Wei “The Fuzzy Control System Optimized by Genetic Algorithm for the Robot Arm with Five Degree” Robot Technology 2009