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Adaptive second-order fast nonsingular terminal sliding mode control for robotic manipulators.
1Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing, Jiangsu 210096, China.
ISA Transactions
|February 20, 2019
Summary
This study introduces an adaptive, chattering-free sliding mode controller for robotic manipulators. The novel approach ensures precise trajectory tracking despite disturbances and uncertainties, enhancing robotic system performance.
Area of Science:
- Robotics
- Control Systems Engineering
- Applied Mathematics
Background:
- Robotic manipulators require precise trajectory tracking for effective operation.
- External disturbances and uncertainties in inertia parameters pose significant challenges to achieving robust control.
- Chattering in sliding mode controllers can degrade performance and lead to undesirable system behavior.
Purpose of the Study:
- To develop an adaptive, chattering-free sliding mode controller for robotic manipulators.
- To enhance trajectory tracking accuracy and system robustness against disturbances and uncertainties.
- To eliminate chattering phenomena in the control law for smoother operation.
Main Methods:
- Design of a second-order fast nonsingular terminal sliding mode (SOFNTSM) controller.
- Implementation of a continuous control law to mitigate chattering.
- Integration of an adaptive technique to compensate for system uncertainties without requiring prior knowledge of their bounds.
Main Results:
- The proposed SOFNTSM controller ensures fast convergence and high tracking precision.
- Chattering is effectively eliminated through the continuous control law design.
- The adaptive component successfully compensates for system uncertainties, demonstrating robust stability.
- Simulation results confirm the effectiveness of the developed control scheme.
Conclusions:
- The adaptive chattering-free sliding mode controller provides a robust and precise solution for robotic manipulator trajectory tracking.
- The SOFNTSM approach effectively addresses challenges posed by external disturbances and inertia uncertainties.
- The proposed control strategy offers significant advantages in terms of performance, stability, and practical implementation.
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