Genetic Learning Automata and Fuzzy Controller Applied to Active Suspension 2003-01-0133
An application in the automotive filed for the Genetic Learning Automata Fuzzy Classifier System is presented in this work. As a non-linear model free-based strategy, the major advantages of this approach are its modularity and its extensibility. A controller designed using this method for a quarter-car model is applied to a 6-DOF model giving a reasonable performance. Comparisons with the LQR controller are also carried out.
Citation: Brandão, F. and Howell, M., "Genetic Learning Automata and Fuzzy Controller Applied to Active Suspension," SAE Technical Paper 2003-01-0133, 2003, https://doi.org/10.4271/2003-01-0133. Download Citation
Author(s):
Felipe V. Brandão, Mark N. Howell
Affiliated:
Loughborough University
Pages: 12
Event:
SAE 2003 World Congress & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Software/Hardware & Systems Engineering-SP-1781, SAE 2003 Transactions Journal of Passenger Cars - Electronic and Electrical Systems-V112-7
Related Topics:
Education and training
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