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Robust Tracking Control of Wheeled Mobile Robot Based on Differential Flatness and Sliding Active Disturbance
Amine Abadi1, Amani Ayeb2, Moussa Labbadi3
1Laboratory ImViA EA 7535, University of Bourgogne, 21000 Dijon, France.
This study introduces a robust tracking control for wheeled mobile robots (WMRs) facing wind and slipping. By combining sliding mode control (SMC) with active disturbance rejection control (ADRC), it enhances stability and tracking accuracy.
Area of Science:
- Robotics
- Control Systems Engineering
- Mechatronics
Background:
- Wheeled mobile robots (WMRs) face significant challenges in maintaining stable tracking due to external disturbances like wind and internal uncertainties such as wheel slip.
- Traditional control methods, including sliding mode control (SMC), often suffer from chattering and reduced robustness when dealing with complex, unmodeled dynamics.
Purpose of the Study:
- To develop a robust tracking control strategy for WMRs that effectively mitigates the effects of wind disturbances and wheel slip.
- To enhance the stability and tracking performance of under-actuated WMRs in uncertain environments.
Main Methods:
- Differential flatness methodology was employed to transform the nonlinear WMR model into a linear canonical form.
- A hybrid control approach integrating boundary layer sliding mode control (SMC) with active disturbance rejection control (ADRC) was proposed.
- An extended state observer within ADRC was utilized to estimate and compensate for lumped uncertainties.
Main Results:
- The proposed integrated control method demonstrated effective suppression of chattering while maintaining robust tracking performance.
- Simulations and experimental results validated the superior efficiency of the proposed controller compared to existing methods.
- Lyapunov theory was used to establish the stability properties of the closed-loop system.
Conclusions:
- The combined SMC-ADRC approach offers a practical and robust solution for WMR tracking control under significant uncertainties.
- This method significantly improves the WMR's ability to perform accurate tracking tasks in challenging, dynamic environments.
- The integration of ADRC with boundary layer SMC provides enhanced disturbance rejection and control accuracy.
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