Title :
Modeling and parameter identification of a tractor semitrailer/driver closed-loop system using the Simulated Annealing (SA) optimization approach
Author :
Chen, Jianhua ; Liu, Zhaoheng
Author_Institution :
Dept. of Mech. Eng., Ecole de Technol. Super., Montreal, QC, Canada
Abstract :
Identifying the dynamics and parameters for an articulated heavy vehicle/driver (tractor semitrailer/driver) system is presented in this paper. The dynamic behaviour of the vehicle system is studied by setting up a closed-loop control model of a vehicle/driver system that included a three degree of freedom (3-DOF) tractor semitrailer lateral dynamic model and a driver steering model. It is assumed that the driver steering control model responds to the vehicle state vector following a time delay. The inherent driver steering control parameters to be identified are the state vector´s coefficients, here defined as an optimal control vector. The Simulated Annealing (SA) optimization method is used to search for this control vector. The results show that this method (SA) gives a good convergence rate and robustness for the closed-loop vehicle/driver system under study. Various simulations and sensitivity analysis are also performed and presented.
Keywords :
closed loop systems; delays; optimal control; simulated annealing; vehicle dynamics; SA; optimal control vector; optimization approach; simulated annealing; state vector coefficients; time delay; tractor driver closed-loop system; tractor semitrailer closed-loop system; vehicle state vector; Convergence; Delay effects; Optimal control; Optimization methods; Parameter estimation; Robustness; Sensitivity analysis; Simulated annealing; Vehicle driving; Vehicle dynamics; Tractor semitrailer vehicles; closed-loop system; lateral dynamics; optimal driver; simulated annealing;
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
DOI :
10.1109/ICINFA.2010.5512363