Obstacle Avoidance Using CTC and Virtual Structure for Leader-Follower Formation on Mobile Robot
Abstract
This research examined the development of the combination of virtual structure and leader-follower as an obstacle avoidance method in the formation control of a mobile robot. The formation of the robots are designed with the Separation Bearing Control (SBC) approach between the leader robot (RL) and the virtual robot (RV). The virtual robot is used as a virtual follower and a reference trajectory for the follower robot (RF). When the follower robot detects an obstacle, the follower robot trajectory is adjusted using a trajectory planner for obstacle avoidance. After passing the obstacle, the follower robot will track its position back in formation using virtual robot position and heading as reference. Leader robot and follower are perturbed by disturbances. In order to ensure the achievement of small error tracking, a controller is designed using the integration of kinematic and dynamics controllers with disturbance observer. The kinematic and dynamics controllers are designed using input-output linearisation (IOL) method and computed torque control (CTC). The effectiveness of the proposed method is verified by the simulation result.
Keywords: CTC, leader follower, obstacle avoidance, SBC, virtual structure.
Full Text:
PDFReferences
B. A. Issa and A. T. Rashid, “A Survey of Multi-mobile Robot Formation Control,” International Journal of Computer Applications, vol. 181, no. 48, p. 0975 – 8887, 2019.
M. Ghiasvand and K. Alipour, “Formation control of wheeled mobile robots based on fuzzy logic and system dynamics,” Fuzzy Systems (IFSC), 2013 13th Iranian Conference, p. 1–6, 2013.
S. Ahmed, M. N. Karsiti and R. N. K. Loh, “Control Analysis and Feedback Techniques for Multi Agent Robots,” INTECH Open Access Publisher, 2019.
M. A. M. Obaid, A. R. Husain and A. A. M. Al-kubati, “Robust Backstepping Tracking Control of Mobile Robot Based on Nonlinear Disturbance Observer,” International Journal of Electrical and Computer Engineering (IJECE)2, vol. 6, no. 2, pp. 901-908, 2016.
D. Huang and J. Zhai, “Trajectory Tracking Control of Wheeled Mobile Robots Based on Disturbance Observer,” Chinese Automation Congress (CAC), pp. 1761-1765, 2015.
M. Noorbad, A. M. Shahri, K. Shojaei and B. Tabibian, “A Passivity based Stability Analysis of Disturbance Observer based Trajectory Tracking Control of Nonholonomic Wheeled Mobile Robot,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp. 477-482, 2010.
Y. Jinhua and Y. Suzhen, “Trajectory Tracking control of WMR Based on Sliding Mode Disturbance Observer with Unknown Skidding and Slipping,” International Conference on Cybernetics, Robotics and Control, pp. 18-22, 2017.
A. Kusumawardana and T. Agustinah, “Disturbance Compensation Using CTC with NDOB for Formation Control Mobile Robots,” International Conference on Information and Communications Technology, 2018.
Arfittariah and T. Agustinah, “Formation Control of Multi-Robot using Virtual Structures with a Linear Algebra Approach,” JAREE (Journal on Advanced Research in Electrical Engineering), 2020.
T. Miyazaki and K. Takaba, “Formation control of mobile robots with obstacle avoidance,” International Conference on Control, Automation and Systems (ICCAS), pp. 121-126, 2014.
S. Xiao, L. Feng, H. Lian and B. Du, “Dynamic Formation and Obstacle Avoidance Control for Multi Robot System,” World Congress on Intelligent Control and Automation (WCICA), pp. 59-63, 2016.
H. Melujerdi, M. Saad, and J. Ghommam, “Multi mobile robots formation in presence of obstacles,” IEEE International Conference on Mechatronics, pp. 510-515, 2011.
Z. Ying and L. Xu, “Leader-follower Formation Control and Obstacle Avoidance of Multi-robot Based on Artificial Potential Field,” IEEE Chinese Control and Decision Conference (CCDC), 2015.
A. Abbaspour, S. A. A. Moosavian and K. Alipour, “A Virtual Structure-based Approach to Formation Control of Cooperative Wheeled Mobile Robots,” RSI/ISM International Conference on Robotics and Mechatronics, 2013.
L. Dong, Y. Chen and X. Qu, “Formation Control Strategy for Nonholonomic Intelligent Vehicles Based on Virtual Structure and Consensus Approach,” Procedia Engineering, p. 415 – 424.
DOI: https://doi.org/10.12962/jaree.v5i2.204
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.