A novel adaptive pseudospectral method for the optimal control problem of automatic car parking
DOI number:10.1002/asjc.2534
Journal:Asian Journal of Control
Key Words:adaptive pseudospectral method, autonomous parking, nonlinear programming, Optimal control, trajectory optimization
Abstract:This paper proposes a novel adaptive pseudospectral (NAP) method for solving the time-energy optimal control model to minimize the parking time and the energy output of the vehicle. The time-energy optimal control model is first discretized into a nonlinear programming problem at Gauss collocations by the NAP method. Subsequently, we prove the equivalence between the nonlinear programming problem derived from the NAP method and the time-energy optimal control model problem. Compared to those of the interior point method and the piecewise gauss pseudospectal method, simulation results show that the NAP method has higher computational efficiency and accuracy in solving the time-energy optimal control model problem.
Co-author:Heng Mai,Zemian Zhang
First Author:Xuesong Chen
Indexed by:Journal paper
Correspondence Author:Fangqing Gu
Volume:24
Issue:3
Page Number:1363-1377
Translation or Not:no
Date of Publication:2021-04-16
Included Journals:SCI
Links to published journals:https://onlinelibrary.wiley.com/doi/10.1002/asjc.2534
