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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2023 Volume 63, Number 6, Pages 950–961 (Mi zvmmf11569)

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.

UDC: 519.68

Received: 09.10.2022
Revised: 10.12.2022
Accepted: 02.03.2023

DOI: 10.31857/S0044466923060194


 English version:
Computational Mathematics and Mathematical Physics, 2023, 63:6, 1016–1027

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© Steklov Math. Inst. of RAS, 2024