Application of Intelligent Control Optimized by Genetic Algorithm in Metal-belt CVT 2010-01-0372
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.
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. Download Citation
Author(s):
Baoyu Wu, Guo Xuexun, Jun Yan, Qi Sun
Affiliated:
Wuhan Univ. of Technology, Dongfeng Motor Group Co, Ltd.
Pages: 8
Event:
SAE 2010 World Congress & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Transmission and Driveline, 2010-SP-2291
Related Topics:
Fuzzy logic
Mathematical models
Continuously variable transmissions
Optimization
Vehicle drivers
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