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Optimal control
Optimization of control and parameters in systems with phase constraints
A. I. Tyatyushkin Matrosov Institute for System Dynamics and Control Theory, Siberian Branch, Russian Academy of Sciences, 664033, Irkutsk, Russia
Abstract:
For an optimal control problem with constraints on phase coordinates, an iterative method for finding a numerical solution is considered, based on reduction to a finite-dimensional problem and applying to it a sequential linearization algorithm using a modified Lagrange function. To solve linear auxiliary problems at iterations of the method, the reduced gradient method is used. The efficiency of taking into account phase constraints in the calculation of optimal control is illustrated by the numerical solution of problems from the field of aerodynamics and robotics.
Key words:
optimal control, control parameters, phase constraints, gradient methods, modified Lagrange function, reduced gradient method.
Received: 09.10.2022 Revised: 10.12.2022 Accepted: 02.03.2023
Citation:
A. I. Tyatyushkin, “Optimization of control and parameters in systems with phase constraints”, Zh. Vychisl. Mat. Mat. Fiz., 63:6 (2023), 950–961; Comput. Math. Math. Phys., 63:6 (2023), 1016–1027
Linking options:
https://www.mathnet.ru/eng/zvmmf11569 https://www.mathnet.ru/eng/zvmmf/v63/i6/p950
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