ADAPTIVE CONTROL WITH CONVEX SATURATION CONSTRAINTS

被引：0

作者：

Yan, Jin ^{[1
]}

dos Santos, Davi Antonio ^{[2
]}

Bernstein, Dennis S. ^{[1
,3
]}

机构：

[1] Univ Michigan, Dept Aerosp Engn, Ann Arbor, MI 48109 USA

[2] Instituto Tenolgico Aeronutica, Divisao Engenharia Mecanica Aeronautica, BR-12228900 Sao Jos dos Campos, SP, Brazil

[3] Univ Michigan, Dept Aerosp Engn, Ann Arbor, MI 48109 USA

来源：

PROCEEDINGS OF THE ASME 2013 DYNAMIC SYSTEMS AND CONTROL CONFERENCE (DSCC2013), VOL. 1 | 2013年

关键词：

SYSTEMS; STABILIZATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper applies retrospective cost adaptive control (RCAC) to command following in the presence of multivariable convex input saturation constraints. To account for the saturation constraint, we use convex optimization to minimize the quadratic retrospective cost function. The use of convex optimization bounds the magnitude of the retrospectively optimized input and thereby influences the controller update to satisfy the control bounds. This technique is applied to a tilt rotor with constraints on the total thrust magnitude and inclination of the rotor plane.

引用

页数：10

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