@inproceedings{956b5aac05d34edc8ba07d1e2e55dcfb,
title = "Modeling and Control of Reaction Wheel Pendulum with Feedback Linearization and LQR Control",
abstract = "This paper presents a modeling and control approach using feedback linearization and LQR control for a reaction wheel pendulum system. First, the equations of motion for the reaction wheel pendulum system are derived. Then, feedback linearization is employed to linearize the nonlinear system dynamics. This technique transforms the original system into a linear system by canceling out the nonlinearities using feedback. The control design utilizes the linearized model obtained through feedback linearization in conjunction with the LQR control strategy. Simulation results demonstrate the effectiveness of the combined feedback linearization and LQR control approach for stabilizing the reaction wheel pendulum system.",
keywords = "Feedback linearization, Linear Quadratic Regulator, Reaction wheel pendulum",
author = "Unggul Wasiwitono and Arif, \{Didik Khusnul\} and Latifah Nurahmi and Bambang Pramujati",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 6th International Conference on Mechanical Engineering, ICOME 2023 ; Conference date: 30-08-2023 Through 31-08-2023",
year = "2025",
doi = "10.1007/978-981-97-7898-0\_35",
language = "English",
isbn = "9789819778973",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "315--322",
editor = "\{El Kharbachi\}, Abdel and Wijayanti, \{Ika Dewi\} and Putu Suwarta and Ivan Tolj",
booktitle = "Smart Innovation in Mechanical Engineering - Select Proceedings of ICOME 2023",
address = "Germany",
}