Nonlinear Optimal Control Using Finite-horizon State Dependent Riccati Equation Combined with Genetic Algorithm
Document Type
Conference Proceeding
Publication Date
1-1-2017
Publication Title
Advances in Intelligent Systems and Computing
Publisher
Springer Verlag
Volume
539
First page number:
297
Last page number:
307
Abstract
Precise model of DC motor is a nonlinear model. Accurate nonlinear control of DC motors is required. A novel online technique for finite-horizon nonlinear tracking problem is offered in this paper. The idea of the proposed technique is the change of variables that converts the nonlinear differential Riccati equation to a linear Lyapunov differential equation. Genetic algorithm is used as a method to calculate the optimal weighting matrices. Unlike the linear techniques that are used for linearized systems, the proposed technique is effective for wide range of operating points. Simulation results are given to demonstrate the effectiveness of the offered technique. © Springer International Publishing AG 2017.
Language
english
Repository Citation
Khamis, A.,
Zydek, D.,
Selvaraj, H.
(2017).
Nonlinear Optimal Control Using Finite-horizon State Dependent Riccati Equation Combined with Genetic Algorithm.
Advances in Intelligent Systems and Computing, 539
297-307.
Springer Verlag.
http://dx.doi.org/10.1007/978-3-319-48944-5_27