External Constraint Handling for Solving Optimal Control Problems With Simultaneous Approaches and Interior Point Methods

被引:9
作者
Nie, Yuanbo [1 ]
Kerrigan, Eric C. [1 ,2 ]
机构
[1] Imperial Coll London, Dept Aeronaut, London SW7 2AZ, England
[2] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
来源
IEEE CONTROL SYSTEMS LETTERS | 2020年 / 4卷 / 01期
关键词
Constrained control; optimal control; predictive control; IMPLEMENTATION;
D O I
10.1109/LCSYS.2019.2921700
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Inactive constraints do not contribute to the solution of an optimal control problem, but increase the problem size and burden the numerical computations. We present a novel strategy for handling inactive constraints efficiently by systematically removing the inactive and redundant constraints. The method is designed to be used together with simultaneous approaches under a mesh refinement framework, with mild assumptions that the original problem has feasible solutions, and the initial solve of the problem is successful. The method is tailored for interior point-based solvers, which are known to be very sensitive to the choice of initial points in terms of feasibility. In the example problem shown, the proposed scheme achieves more than a 40% reduction in computation time.
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页码:7 / 12
页数:6
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