State Estimation And Stabilization Control Of A Balanced Robot Based On Extended Kalman Filtering

Boying Zhang; Hujun Luo; Wei Dong

doi:10.47297/taposatWSP2633-456934.20250604

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State Estimation And Stabilization Control Of A Balanced Robot Based On Extended Kalman Filtering

Volume 6, Issue 4

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State Estimation And Stabilization Control Of A Balanced Robot Based On Extended Kalman Filtering
State Estimation And Stabilization Control Of A Balanced Robot Based On Extended Kalman Filtering
Liaoning University of Science and Technology, Anshan, Liaoning 114051
Vol. 6, Issue 4, Pages: 191-197(2025)
Published：22 April 2025
DOI：10.47297/taposatWSP2633-456934.20250604
Accepted：

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Zhang Boying,Luo Hujun,Dong Wei.State Estimation And Stabilization Control Of A Balanced Robot Based On Extended Kalman Filtering[J].Theory and Practice of Science and Technology,2025,06(04):191-197.
DOI：

Zhang Boying,Luo Hujun,Dong Wei.State Estimation And Stabilization Control Of A Balanced Robot Based On Extended Kalman Filtering[J].Theory and Practice of Science and Technology,2025,06(04):191-197. DOI： 10.47297/taposatWSP2633-456934.20250604.

摘要

Abstract

This paper investigates the state estimation and stability control method of balanced robot based on extended Kalman filter (EKF). Due to the nonlinear dynamics of balanced robots

state estimation and stability control have been a hot research topic. This paper firstly introduces the dynamic modeling of the balanced robot

and then elaborates the application of extended Kalman filter in state estimation

which realizes the accurate estimation of the robot state by combining the nonlinear system model and observation data. On this basis

a stabilization control strategy based on state estimation is designed

and the effectiveness of the method is verified by experiments. The results show that the state estimation based on EKF can improve the stability and control accuracy of the balancing robot

which provides theoretical support and technical reference for the practical application of balancing robot.

关键词

Keywords

references

On the design and implementation of control system for two-wheeled self-balancing robot. Liu Zhicheng. Science and Technology Perspectives,2017(09).

Design and implementation of control system for two-wheeled self-balancing robot. Liu, J.; Xiao, J. B.; Wang, X.; Qian, W Electronic Technology and Software Engineering,2019(17).

Design of a self-balancing robot control system based on electromagnetic guidance. Shen T; Wang Q; Chen Yankai; Qin Heting. Industrial Control Computer,2020(07).

Design of control system for ball pickup robot for tennis. Chen Huan. Automation and Instrumentation, 2023(11).

Design of control system for an underwater aquaculture robot. LIANG Guo-Xiang; QUAN Kai-Jie; LIANG Ivana-Ling; HUANG Li-Xia. China Science and Technology Information, 2024(03).

Design of control system for field seeding robot. TAN Fusheng; LI Lianzheng; SUN Longlong; YUAN Guoqing; MA Yaoming; WANG Yumeng; CHEN Jiahe. Robotics Technology and Application,2023(06).

Research on the control system of container automatic palletizing robot. Deer Yebo. Equipment Management and Maintenance,2024(02).

Research on practical teaching mode of embedded robot control system. Pu Xi; Chen Yu; Ruan Tao. Development and Innovation of Electromechanical Products,2024(04).

Design and research on control system of intelligent water surface trash cleaning robot. Wang, Yun-Liang; Zhao, Yi-Wen; Wu, Yan-Juan. Computer Application and Software,2024(09).

Multi-sensory detection robot control system. Lin, Jia-Rui; Mo, Qi; Fu, Hantao; Luo, Shijun; Zhang, Jintong. Software,2024(08).

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