Applying genetic search techniques to drivetrain modeling
- 1 June 1993
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Control Systems
- Vol. 13 (3), 50-55
- https://doi.org/10.1109/37.214944
Abstract
Work carried out to identify a nonlinear model of a vehicle engine and drivetrain is discussed. A hybrid approach that combines both physical modeling and parameter optimization using genetic algorithm (GA) search techniques is used. The resulting models, which cover a range of operating conditions, have allowed the sensitivity to variation of key parameters to be assessed and have been used to help optimize the overall response of the vehicle drivetrain. A comparison of the GA search and a gradient based method, which highlights the intelligent nature of the former approach, is presented.Keywords
This publication has 3 references indexed in Scilit:
- Recursive adaptive filter design using an adaptive genetic algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Adaptive control of a dynamic system using genetic-based methodsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Identification of combined viscous and Coulomb friction - a numerical comparison of least-squares algorithmsTransactions of the Institute of Measurement and Control, 1986