Truong-Phuong-Nam Pham
Ho Chi Minh City University of Technology and Engineering (HCM-UTE), No.01 Vo Van Ngan Street, Thu Duc ward, Ho Chi Minh City 700000, Vietnam
Trong-Bang Tran
Department of Mechanical Engineering, Konkuk University, Seoul 05029, Republic of Korea
Duc-Anh-Quan Nguyen
Ho Chi Minh City University of Technology (HCMUT), Vietnam National University Ho Chi Minh City (VNU-HCM), 258 Ly Thuong Kiet Street, District 10, Ho Chi Minh City 700000, Vietnam
Vi-Do Tran
Ho Chi Minh City University of Technology and Engineering (HCM-UTE), No.01 Vo Van Ngan Street, Thu Duc ward, Ho Chi Minh City 700000, Vietnam
Van-Thuyen Ngo
Ho Chi Minh City University of Technology and Engineering (HCM-UTE), No.01 Vo Van Ngan Street, Thu Duc ward, Ho Chi Minh City 700000, Vietnam
Tran-Minh-Nguyet Nguyen
Ho Chi Minh City University of Technology and Engineering (HCM-UTE), No.01 Vo Van Ngan Street, Thu Duc ward, Ho Chi Minh City 700000, Vietnam
Van-Dong-Hai Nguyen
Ho Chi Minh City University of Technology and Engineering (HCM-UTE), No.01 Vo Van Ngan Street, Thu Duc ward, Ho Chi Minh City 700000, Vietnam
Trung-Thang Nguyen
Ho Chi Minh City University of Technology and Engineering (HCM-UTE), No.01 Vo Van Ngan Street, Thu Duc ward, Ho Chi Minh City 700000, Vietnam; Cao Thang Technical College, 65 Huynh Thuc Khang Street, Ben Nghe Ward, District 1, Ho Chi Minh City 700000, Vietnam
Hari Maghfiroh
Universitas Sebelas Maret (UNS), Ir. Sutami Street 36A Kentingan, Jebres, Surakarta, Central Java, Indonesia 57126
Minh-Tam Nguyen
Ho Chi Minh City University of Technology and Engineering (HCM-UTE), No.01 Vo Van Ngan Street, Thu Duc ward, Ho Chi Minh City 700000, Vietnam
Abstract
This paper presents an experimental study on the stabilization of a double inverted pendulum on a cart using a Linear Quadratic Regulator controller. Building upon previous simulation-based research, the current work focuses on the practical implementation of the LQR control strategy on a real laboratory setup. The mathematical model of the system was first derived using Lagrangian dynamics and validated through simulations to ensure accuracy. An LQR controller was then designed and implemented on an experimental platform consisting of a DC motor, encoder sensors, and a real-time control unit. The experimental results clearly demonstrate the capability of the LQR controller to stabilize both pendulum links in the upright position while maintaining bounded cart motion and acceptable energy consumption. Furthermore, a systematic comparison between simulation and experimental results is provided, showing strong agreement and confirming the robustness of the proposed approach. This study highlights the feasibility of applying LQR control in real-world underactuated systems and provides a solid foundation for future research on advanced and intelligent control strategies, including nonlinear and adaptive methods.