Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 11, 2020
|
|
---|---|---|
Article Number | 12 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/smdo/2020007 | |
Published online | 28 July 2020 |
Research Article
System design for inverted pendulum using LQR control via IoT
1
Department of Mechatronics Engineering, Rajamagala University of Technology Thanyaburi, Thailand
2
Department of Mechatronics Engineering, Mechatronics Polytechnic of Sanata Dharma, Yogyakarta, Indonesia
* e-mail: dechrit_m@rmutt.ac.th
Received:
15
October
2019
Accepted:
27
March
2020
This research proposes control method to balance and stabilize an inverted pendulum. A robust control was analyzed and adjusted to the model output with real time feedback. The feedback was obtained using state space equation of the feedback controller. A linear quadratic regulator (LQR) model tuning and control was applied to the inverted pendulum using internet of things (IoT). The system's conditions and performance could be monitored and controlled via personal computer (PC) and mobile phone. Finally, the inverted pendulum was able to be controlled using the LQR controller and the IoT communication developed will monitor to check the all conditions and performance results as well as help the inverted pendulum improved various operations of IoT control is discussed.
Key words: Inverted pendulum / state space control / Simulink / LQR control / IoT
© D. Maneetham and P. Sutyasadi, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.