Trajectory tracking intelligent controller for differential wheel mobile robot

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Authors

  • Vo Thu Ha (Corresponding Author) Faculty of Electrical Engineering, University of Economics - Technology for Industries
  • Nguyen Thi Thanh Faculty of Electrical Engineering, University of Economics - Technology for Industries
  • Than Thi Thuong Faculty of Electrical Engineering, University of Economics - Technology for Industries
  • Bui Huy Hai Faculty of Electrical Engineering, University of Economics - Technology for Industries

DOI:

https://doi.org/10.54939/1859-1043.j.mst.90.2023.11-21

Keywords:

Mobile robot; Neural Netwwork-Adaptive backstepping controller.

Abstract

This paper presents the design and development of a Neural Netwwork-Adaptive backstepping (NN-Adaptive backstepping) controller to track the trajectory of a differentially controlled mobile robot. The controller is designed based on the robot dynamics equation and on the basis of the Backstepping controller. The effectiveness of the proposed controller is verified by simulation on different trajectories and compared with the backstepping controller. Model results The simulation shows that the proposed controller achieves quality better than the Backstepping controller in different trajectories. The tracking performance of the NN-Adaptive backstepping controller compared to the Backstepping controller is clearly improved (performance improved by over 52%), which means that the proposed controller trajectory error output will decrease by this percentage.

References

[1]. J. Brozak, "Using Underwater Robotics for Autonomous Deep-Sea Exploration", MOBILITY ENGINEERING Produced by SAE Media Group, (2022).

[2]. H. Yang, X. Fan, Y. Xia, and C. Hua, "Robust tracking control for wheeled mobile robot based on extended state observer", Advanced Robotics, vol. 30, no. 1, p. 1–11, (2015).

[3]. R. Jagielski, "Autonomous mobile robots in intralogistics. Trends and possible applications", AMR Technology INDUSTRY 4.0 WAREHOUSE AUTOMATION, (2020).

[4]. W. Sun et al., "Two time-scale tracking control of nonholonomic wheeled mobile robots", IEEE Transactions on Control Systems, vol. Vol. 24, no. 6, p. 2059–2069, (2016).

[5]. R. W. Brocket, "Asymptotic stability and feedback stabilization", Differential Geometric Control Theory, vol. 27, pp. 181-191, (1983).

[6]. A. M. Bloch et al., "Control and stabilization of nonholonomic dynamic systems", IEEE Transactions on Automatic Control, vol. 37, no. 11, pp. 1746-1757, (1992).

[7]. Dongliang Wang et al., "A Robust Model Predictive Control Strategy for Trajectory Tracking of Omni-directional Mobile Robots", Journal of Intelligent & Robotic Systems, vol. 98, pp. 439-453, (2020).

[8]. Erkan Kayacan et al., "Robust Trajectory Tracking Error Model-Based Predictive Control for Unmanned Ground Vehicles", PREPRINT VERSION: IEEE/ASME TRANSACTIONS ON MECHATRONICS, vol. 21, no. 2, (2021).

[9]. Tri Duc Tran et al., "Parameter-Adaptive Event-Triggered Sliding Mode Control for a Mobile Robot", Robotics, vol. 78, no. 11, (2022).

[10]. Seyed Mohammad Ahmadi et al., "A state augmented adaptive backstepping control of wheeled mobile robots", Sage Journals Home, vol. 43, no. 2, (2020).

[11]. Mingyue Cui et al., "Adaptive Control for Simultaneous Tracking and Stabilization of Wheeled Mobile Robot with Uncertainties", Journal of Intelligent and Robotic Systems, vol. 108, no. 3, (2023).

[12]. En Lu et al., "Adaptive Backstepping Control for a Unicycle-Type Mobile Robot," International Journal of Agricultural and Biological Engineering, vol. 13, no. 4, pp. 178-187, (2020).

[13]. Chen et al., "Observer-based adaptive backstepping consensus tracking control for high-order nonlinear semistrict-feedback multiagent systems", IEEE Transactions on Cybernetics, vol. 46, no. 7, pp. 1591-1601, (2017).

[14]. J. Chen, H. Qiao, "Muscle-synergies-based neuromuscular control for motion learning and generalization of a musculoskeletal system," IEEE Transactions on Systems, Man, and Cybernetics, vol. 51, no. 6, pp. 3993 - 4006, (2021).

[15]. J. Enrique Sierra-García et al., "Development and Experimental Validation of Control Algorithm for Person-Following Autonomous Robots", Electronics, vol. 19, no. 2, (2023).

[16]. Changshun Wang et al., "Neural Network Based Adaptive Dynamic Surface Control for Omnidirectional Mobile Robots Tracking Control with Full-state Constraints and Input Saturation", International Journal of Control, Automation and Systems, vol. 19, no. 2, pp. 4067-4077, (2021).

[17]. J. Kacprzyk, "Wheeled mobile robot control", Springer Nature Switzerland AG, vol. 380, pp. 2198-4182, (2022).

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Published

25-10-2023

How to Cite

Vo Thu Ha, Nguyen Thi Thanh, Than Thi Thuong, and D. H. Bui Huy. “Trajectory Tracking Intelligent Controller for Differential Wheel Mobile Robot”. Journal of Military Science and Technology, vol. 90, no. 90, Oct. 2023, pp. 11-21, doi:10.54939/1859-1043.j.mst.90.2023.11-21.

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