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Constructive Methods for Initialization and Handling Mixed State-Input Constraints in Optimal Control

Abstract : New methods are presented to address two issues in indirect optimal control: the calculation of a starting point for the numerical solution and the consideration of mixed state-input constraints. In the first method, an auxiliary optimal control problem is constructed from a given initial trajectory of the system. Its adjoint variables are simply zero. This auxiliary problem is then used within a homotopy approach to eventually reach the original optimal control problem and the desired optimal solution. The second method concerns the incorporation of mixed state- input constraints into the dynamics of the considered optimal control problem. It uses saturation functions which strictly satisfy the constraints. In this way, the original constrained optimal control problem is transformed into an unconstrained one with an additional regularization term. The two approaches are derived within a general framework. For sake of illustration, they are applied to the space shuttle reentry problem, which represents a challenging benchmark due to its high numerical sensitivity and the presence of input and heating constraints. The reentry problem is solved with a collocation method and demonstrates the applicability and accuracy of the proposed constructive methods.
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Contributeur : François Chaplais <>
Soumis le : samedi 16 janvier 2010 - 05:50:20
Dernière modification le : jeudi 24 septembre 2020 - 17:04:18

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Knut Graichen, Nicolas Petit. Constructive Methods for Initialization and Handling Mixed State-Input Constraints in Optimal Control. AIAA Journal of Guidance, Control, and Dynamics, 2008, pp.1334-1343. ⟨10.2514/1.33870⟩. ⟨hal-00447826⟩



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