Title :
SCOP: A sequential constraint-free optimal control problem algorithm
Author :
Rousseau, G. ; Tran, Q.H. ; Sinoquet, D.
Author_Institution :
Dept. Math. Appl., IFP, Rueil-Malmaison
Abstract :
In this paper, we propose a new computational algorithm for optimal control problems with a scalar state subject to simple-bound constraints. Unlike multiple shooting algorithms, the number of active constraints does not need to be known in advance. This method is also much faster than dynamic programming. Convergence is proved for two particular cases. SCOP is applied for an optimization problem of fuel consumption for a hybrid vehicle.
Keywords :
fuel optimal control; hybrid electric vehicles; mathematical programming; SCOP; dynamic programming; fuel consumption; hybrid vehicle; sequential constraint-free optimal control problem; simple-bound constraints; Constraint optimization; Convergence; Dynamic programming; Engines; Fuels; Heuristic algorithms; Optimal control; Optimization methods; Testing; Vehicle dynamics; Optimal Control; Pontryagin’s Principle; Shooting Algorithm; State Constraints;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597314
