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Control Methodologies for Tip Stabilization in Flexible Robotic Manipulators: An Analysis of LQR, LQG, and PID Controllers

Publication Type : Conference Proceedings

Publisher : Springer Nature Singapore

Source : Lecture Notes in Electrical Engineering

Url : https://doi.org/10.1007/978-981-95-2901-8_48

Campus : Chennai

School : School of Engineering

Department : Mechanical Engineering

Year : 2026

Abstract : Flexible robotic manipulators are increasingly utilized in the aerospace industry, leading to continuous advancements in their control methodologies. While PID controllers have traditionally been predominant in this field, there is a shift toward exploring and implementing new control strategies. This paper employs the finite element method to develop the dynamics of a single-link flexible robotic manipulator, calculating the generalized inertia and stiffness matrices for a specified manipulator length. It also formulates both the linear quadratic regulator (LQR) and linear quadratic Gaussian (LQG) controllers. The system is linearized to create a state-space representation, and the dynamic responses, including tip deflections and velocities, are analyzed under a bang-bang torque scenario. The study examines LQR and LQG controllers with both partial and full state feedback. The tip deflections of the manipulator are compared to those produced by a PID controller. The performance of all controllers is evaluated based on the time required for tip stabilization, with conclusions drawn from the collected data.

Cite this Research Publication : Sagar Ghosal, Kshetrimayum Lochan, Ankur Jaiswal, Umesh Kumar Sahu, H. P. Jawale, Abhishek Jha, Control Methodologies for Tip Stabilization in Flexible Robotic Manipulators: An Analysis of LQR, LQG, and PID Controllers, Lecture Notes in Electrical Engineering, Springer Nature Singapore, 2026, https://doi.org/10.1007/978-981-95-2901-8_48

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