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Updated: Jun 20, 2026

Online Virtual Reality Networked Control Laboratory Applied in Control Engineering Education
Published on: February 23, 2024
Nonlinear control design for stabilization and tracking of a rotary inverted pendulum
Arefe Shalbafian1,2, Farhad Amiri3,4
1Department of Electrical Engineering, Hamedan University of Technology, Hamedan, Iran.
A new nonlinear controller framework using second-order sliding mode control (SOSMC) improves rotary inverted pendulum (RIP) stabilization and tracking. This advanced control method enhances performance over traditional approaches, offering faster response and reduced energy use.
Area of Science:
- Robotics and Control Systems
- Nonlinear Dynamics
- Mechatronics
Background:
- Rotary inverted pendulum (RIP) systems are inherently unstable and underactuated, posing significant control challenges.
- Existing control methods often rely on linearized models, limiting performance to small operational regions.
- Advanced nonlinear control techniques are difficult to apply effectively to these underactuated systems.
Purpose of the Study:
- To develop a novel nonlinear controller framework for robust tracking and stabilization of RIP systems.
- To overcome the limitations of linearized models and address the underactuation challenge in RIP control.
- To enhance the operational region and stability of the pendulum using nonlinear dynamics.
Main Methods:
- A second-order sliding mode controller (SOSMC) was designed based on a proportional-integral-derivative (PID) sliding surface.
- The controller incorporates the nonlinear dynamic model of the RIP system for improved stabilization.
- Performance was evaluated against standard sliding mode control (SMC), reinforced PID-SMC, and linear quadratic regulator (LQR).
Main Results:
- The proposed SOSMC controller demonstrated superior tracking accuracy and faster response with reduced overshoot compared to other methods.
- Mean Square Error (MSE) for arm angle was minimized (0.2229), and pendulum angle MSE was reduced by up to 69.36%.
- The controller achieved significant reductions in control input RMS values (up to 41.99%) compared to benchmarks, indicating efficient energy consumption.
Conclusions:
- The developed SOSMC framework effectively stabilizes the RIP system in a larger region and achieves precise trajectory tracking.
- The controller offers significant improvements in speed, accuracy, and energy efficiency over conventional control strategies.
- This nonlinear approach provides a robust solution for controlling challenging underactuated systems like the RIP.
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