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Published on: October 1, 2019
Cooperative path following control of multiple nonholonomic mobile robots
Ke-Cai Cao1, Bin Jiang2, Dong Yue3
1College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, 210003, PR China; College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, PR China.
This study presents cooperative path following controllers for multiple nonholonomic mobile robots. The novel approach ensures coordinated movement without feedback linearization, validated by simulations.
Area of Science:
- Robotics
- Control Systems Engineering
- Autonomous Systems
Background:
- Cooperative control of multiple nonholonomic mobile robots presents significant challenges.
- Existing methods often rely on feedback linearization, which can be complex and restrictive.
Purpose of the Study:
- To develop a novel framework for cooperative path following control of multiple nonholonomic mobile robots.
- To design controllers without resorting to feedback linearization, enhancing applicability.
- To address the controllability issue of nonholonomic robots when the group reference converges to a stationary point.
Main Methods:
- Decomposition of the cooperative path following problem into independent path following and cooperative control sub-problems.
- Application of cascaded theory for non-autonomous systems in controller design.
- Introduction of a time-varying coordinate transformation based on dilation to handle group reference convergence to a stationary point.
Main Results:
- Development of effective cooperative path following controllers for nonholonomic robots.
- Controllers designed for both persistent references and references converging to a stationary point.
- Validation of the theoretical results through simulations in Matlab.
Conclusions:
- The proposed method effectively solves the cooperative path following problem for multiple nonholonomic mobile robots.
- The approach offers a robust alternative to feedback linearization for complex robotic systems.
- Simulation results confirm the practical applicability and effectiveness of the developed controllers.
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