A review of pseudospectral optimal control: From theory to flight

被引：286

作者：

Ross, I. Michael ^{[1
]}

Karpenko, Mark ^{[1
]}

机构：

[1] USN, Postgrad Sch, Monterey, CA USA

来源：

ANNUAL REVIEWS IN CONTROL | 2012年 / 36卷 / 02期

关键词：

Pseudospectral optimal control; Convergence theorems; Flight applications; Embedded platforms; TRAJECTORY OPTIMIZATION; CONVERGENCE;

D O I：

10.1016/j.arcontrol.2012.09.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The home space for optimal control is a Sobolev space. The home space for pseudospectral theory is also a Sobolev space. It thus seems natural to combine pseudospectral theory with optimal control theory and construct "pseudospectral optimal control theory", a term coined by Ross. In this paper, we review key theoretical results in pseudospectral optimal control that have proven to be critical for a successful flight. Implementation details of flight demonstrations onboard NASA spacecraft are discussed along with emerging trends and techniques in both theory and practice. The 2011 launch of pseudospectral optimal control in embedded platforms is changing the way in which we see solutions to challenging control problems in aerospace and autonomous systems. Published by Elsevier Ltd.

引用

页码：182 / 197

页数：16

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