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Vision-based stabilization of nonholonomic mobile robots by integrating sliding-mode control and adaptive approach

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Abstract

Vision-based pose stabilization of nonholonomic mobile robots has received extensive attention. At present, most of the solutions of the problem do not take the robot dynamics into account in the controller design, so that these controllers are difficult to realize satisfactory control in practical application. Besides, many of the approaches suffer from the initial speed and torque jump which are not practical in the real world. Considering the kinematics and dynamics, a two-stage visual controller for solving the stabilization problem of a mobile robot is presented, applying the integration of adaptive control, sliding-mode control, and neural dynamics. In the first stage, an adaptive kinematic stabilization controller utilized to generate the command of velocity is developed based on Lyapunov theory. In the second stage, adopting the sliding-mode control approach, a dynamic controller with a variable speed function used to reduce the chattering is designed, which is utilized to generate the command of torque to make the actual velocity of the mobile robot asymptotically reach the desired velocity. Furthermore, to handle the speed and torque jump problems, the neural dynamics model is integrated into the above mentioned controllers. The stability of the proposed control system is analyzed by using Lyapunov theory. Finally, the simulation of the control law is implemented in perturbed case, and the results show that the control scheme can solve the stabilization problem effectively. The proposed control law can solve the speed and torque jump problems, overcome external disturbances, and provide a new solution for the vision-based stabilization of the mobile robot.

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Correspondence to Zhengcai Cao.

Additional information

This project is supported by National Key Basic Research and Development Program of China (973 Program, Grant No. 2009CB320602), National Natural Science Foundation of China (Grant Nos. 60834004, 61025018), National Science and Technology Major Project of China (Grant No. 2011ZX02504-008), Fundamental Research Funds for the Central Universities of China (Grant No. ZZ1222), and Key Laboratory of Advanced Engineering Surveying of NASMG of China (Grant No. TJES1106)

CAO Zhengcai, born in 1974, is currently a professor at Beijing University of Chemical Technology, China. He received his PhD degree from Harbin Institute of Technology, China, in 2005. His major research interests sensor technique, intelligent control of robot.

YIN Longjie, born in 1988, is currently a master candidate at Beijing University of Chemical Technology, China. His major research interests intelligent control of robot.

FU Yili, born in 1966, is currently a professor at Harbin Institute of Technology, China. He received his PhD degree from Harbin Institute of Technology, China, in 1996. His research interest covers autonomous robot control, medical robotics and virtual reality.

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Cao, Z., Yin, L. & Fu, Y. Vision-based stabilization of nonholonomic mobile robots by integrating sliding-mode control and adaptive approach. Chin. J. Mech. Eng. 26, 21–28 (2013). https://doi.org/10.3901/CJME.2013.01.021

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  • DOI: https://doi.org/10.3901/CJME.2013.01.021

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