A Fast Quadratic Program Solver for Constrained Control Allocation

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Abstract

Systems with a redundant set of actuators are to be found in many domains which are characterized by high demands on reliability and performance. The ambiguity in the choice of actuator commands caused by redundancy can be resolved by control allocation (CA). One variant of CA involves the formulation of constrained quadratic programs which have to be solved during controller operation. The corresponding method proposed in this work is based on the well-known penalty function method and enables a fast solution of those optimization problems. Two strategies for dealing with infeasible CA problems are suggested. After introducing the concepts extensive randomized tests with comparisons to established solvers demonstrate the effectiveness of the algorithm.
Originalspracheenglisch
TitelProceedings of the 57th IEEE Conference on Decision and Control
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
Seiten4065-4071
Seitenumfang7
DOIs
PublikationsstatusVeröffentlicht - 2018
Veranstaltung57th IEEE Conference on Decision and Control - Miami Beach, USA / Vereinigte Staaten
Dauer: 17 Dez 201819 Dez 2018

Konferenz

Konferenz57th IEEE Conference on Decision and Control
KurztitelCDC 2018
LandUSA / Vereinigte Staaten
OrtMiami Beach
Zeitraum17/12/1819/12/18

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