Sliding Mode Control Design of a Two-Wheel Inverted Pendulum Robot: Simulation, Design and Experiments

Author:

S. Arani Mikail,Ebrahimi Orimi Hamid,Xie Wen-Fang,Hong Henry

Publisher

Springer International Publishing

Reference19 articles.

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3. Tsai CC, Ju SY, Hsieh SM (2010) Trajectory tracking of a self-balancing two-wheeled robot using backstepping sliding-mode control and fuzzy basis function networks. In: Proceedings of IEEE/RSJ international conference on intelligent robots and systems (IROS). IEEE, October 2010

4. Unluturk A, Aydogdu O (2017) Adaptive control of two-wheeled mobile balance robot capable to adapt different surfaces using a novel artificial neural network–based real-time switching dynamic controller. Int J Adv Rob Syst 14(2):1729881417700893

5. Villacres J, Viscaino M, Herrera M et al (2016) Controllers comparison to stabilize a two-wheeled inverted pendulum: PID, LQR and sliding mode control. Moment 2(2):12

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1. Simultaneous adjustment of balance maintenance and velocity tracking for a two-wheeled self-balancing vehicle;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2023-11-24

2. Experimental Validation of Fuzzy-Optimal Control for a Two-Wheeled Inverted Pendulum;2023 IEEE Seventh Ecuador Technical Chapters Meeting (ECTM);2023-10-10

3. Neural Network Based Discrete Time Modified State Observer: Stability Analysis and Case Study;2020 American Control Conference (ACC);2020-07

4. Real-time Mamdani-like fuzzy and fusion-based fuzzy controllers for balancing two-wheeled inverted pendulum;Journal of Ambient Intelligence and Humanized Computing;2020-05-06

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