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Observer-based proportional integral derivative control for trajectory tracking of wheeled mobile robots with kinematic disturbances

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  • Miranda-Colorado, Roger

Abstract

This manuscript presents a novel observer-based proportional integral derivative (PID) control methodology for trajectory tracking control of wheeled mobile robots (WMR) disturbed by kinematic disturbances. The new proposal employs the kinematic model of the WMR robot together with a reference system to generate a transformed set of two decoupled and disturbed second-order systems. The control design stage consists in dividing the control signal into two parts. The first one uses an observer to compensate for the effect of the kinematic disturbances, which makes all the disturbances affecting the closed-loop system converge to zero uniformly and asymptotically. Then, the second control part consists of a PID controller designed to achieve asymptotic convergence of the tracking error. We provide a synthesis procedure through rigorous Lyapunov-based analysis, demonstrating that the new control scheme achieves the trajectory tracking control objective. Also, we include a set of numerical simulations to assess the performance of the new controller. Here, we compare our novel methodology against a feedback controller and a finite-time controller. The numerical simulations demonstrate that the proposed control scheme achieves the trajectory tracking objective despite kinematic disturbances and outperforms the other control methodologies with the lowest overshoots and tracking errors.

Suggested Citation

  • Miranda-Colorado, Roger, 2022. "Observer-based proportional integral derivative control for trajectory tracking of wheeled mobile robots with kinematic disturbances," Applied Mathematics and Computation, Elsevier, vol. 432(C).
    • Handle: RePEc:eee:apmaco:v:432:y:2022:i:c:s0096300322004465
    DOI: 10.1016/j.amc.2022.127372
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    References listed on IDEAS

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    1. Hua Chen & Shen Xu & Lulu Chu & Fei Tong & Lei Chen, 2018. "Finite-Time Switching Control of Nonholonomic Mobile Robots for Moving Target Tracking Based on Polar Coordinates," Complexity, Hindawi, vol. 2018, pages 1-9, October.
    2. Hou, Rui & Cui, Lizhi & Bu, Xuhui & Yang, Junqi, 2021. "Distributed formation control for multiple non-holonomic wheeled mobile robots with velocity constraint by using improved data-driven iterative learning," Applied Mathematics and Computation, Elsevier, vol. 395(C).
    3. Yoo, Sung Jin & Park, Bong Seok, 2021. "Quantized feedback control strategy for tracking performance guarantee of nonholonomic mobile robots with uncertain nonlinear dynamics," Applied Mathematics and Computation, Elsevier, vol. 407(C).
    4. Zou, Ying & Deng, Chao & Dong, Lu & Ding, Lei & Lu, Ming, 2022. "Distributed output feedback consensus tracking control of multiple nonholonomic mobile robots with only position information of leader," Applied Mathematics and Computation, Elsevier, vol. 422(C).
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