Application of Genetic Algorithm in Optimizing LQR Control for Ball and Beam-Reference-Cited by-同舟云学术

Application of Genetic Algorithm in Optimizing LQR Control for Ball and Beam

Published:2023 Issue:2 Volume:28 Page:48-54
ISSN:1453-2069
Container-title:Robotica & Management
language:
Short-container-title:RM

Author:

,Tran Nguyen-Dang-Khoa^ORCID,Nguyen Minh-Quan, ,Le Tuan-Kiet, ,Bui Duy-Khanh, ,Le Thanh-Vinh, ,Vo Thi-Ngoc-Thi, ,Nguyen Thi-Toi, ,Pham Ngo-Quoc-Bao,

Abstract

In this paper, we apply genetic algorithm (GA) to optimize LQR controller – a linear control algorithm which stability is guaranteed by mathematics. This searching algorithm proves its ability in finding better control parameters through generations. Our model is ball and beam (B&B) – a classical single input – multi output (SIMO) system. This system is balanced around equilibrium point in simulation.

Publisher

Babes-Bolyai University Cluj-Napoca

Reference10 articles.

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