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Analytical Optimal Control Allocation with Time-varying Secondary Objectives

Schwartz, Manuel; Mittelviefhaus, Florian; Hohmann, Sören

Abstract:
The paper at hand presents an optimal control allocation method for linear input systems under consideration of nearly arbitrary and time-varying secondary objectives, exploiting the degrees of freedom of the systems over-actuated characteristics. The distribution is solved in real-time based on the analytical solution of the optimization. Hereby, an objective function with a quadratic as well as a linear term is considered and the time-varying weighting matrices are set up to satisfy secondary objectives. The proposed procedure is applied to a four-wheel steered and four-wheel driven electric vehicle (4WS4WD EV). Thereby, the goal is to achieve energy optimal
behavior as well as maximization of the tire adhesion potential simultaneously. The posed method is compared with state of the art control allocation algorithms.



Zugehörige Institution(en) am KIT Institut für Regelungs- und Steuerungssysteme (IRS)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 20.04.2020
Sprache Englisch
Identifikator KITopen-ID: 1000119226
Erschienen in IEEE ICCAR 2020
Veranstaltung 6th International Conference on Control, Automation and Robotics (ICCAR 2020), Singapur, Singapur, 20.04.2020 – 23.04.2020
Schlagwörter Control Allocation; Multi Obejctive Optimization
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