Research on NN-PID Motion Control Technology for a Wheeled Mobile Robot

2012 ◽  
Vol 538-541 ◽  
pp. 2636-2640
Author(s):  
Shi Zhu Feng ◽  
Ming Xu

Robotics is a spiry integral technology of mechanics, electrics and cybernetics. Through systematical study of a wheeled mobile robot, The kinematic model of it is deduced. A Cerebella Model Articulation Controller (CMAC) PID controller was developed to control the motion to accomplish the realistic motions of the wheeled mobile robot system. The experimental is carried out. The results prove the algorithm is correct, and indicate that the design of CMAC-PID controller is a success. The whole research will provide a reference to the study of the mobile robotics.

Author(s):  
Xin Feng ◽  
Steven A. Velinsky

Abstract This paper describes the application of multimedia and virtual reality technology to a multiple wheeled mobile robot system. The system is designed for teleoperation of a variety of highway maintenance and construction tasks, such as automated highway pavement crack sealing. Each robot is tethered to a support truck through linkages, and has its own embedded controller for motion control and posture sensing. A host computer is dedicated to communicate with the robots and to provide a multimedia interface to the operator. A video camera is mounted above the robots’ workspace and live video is taken to the host computer’s video capture card which supports video overlay. The live video of the robot workspace is then overlaid on the robots’ control window and provides an augmented reality for crack detection, path planning, and robot monitoring. By mapping live video on the computer generated interactive robot animation, the operator can simply control any robot through finger motion on a touch screen. The host computer can also provide a virtual environment providing the operator with a sense that he is sitting on the robot, allowing the robot to be easily controlled with a joystick. This paper shows the manner in which fast growing and inexpensive multimedia PC technology, virtual reality concepts, and the newest programming tools like Visual C++ 4.0 and OpenGL 1.1 for Windows 95/NT can be used to build an integrated interactive monitoring and control interface allowing ease in teleoperation of a multiple robot system thus significantly improving operational performance.


Author(s):  
Dwi Pebrianti ◽  
Yong Hooi Hao ◽  
Nur Aisyah Syafinaz Suarin ◽  
Luhur Bayuaji ◽  
Zulkifli Musa ◽  
...  

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Fujie Wang ◽  
Yi Qin ◽  
Fang Guo ◽  
Bin Ren ◽  
John T. W. Yeow

This paper investigates the stabilization and trajectory tracking problem of wheeled mobile robot with a ceiling-mounted camera in complex environment. First, an adaptive visual servoing controller is proposed based on the uncalibrated kinematic model due to the complex operation environment. Then, an adaptive controller is derived to provide a solution of uncertain dynamic control for a wheeled mobile robot subject to parametric uncertainties. Furthermore, the proposed controllers can be applied to a more general situation where the parallelism requirement between the image plane and operation plane is no more needed. The overparameterization of regressor matrices is avoided by exploring the structure of the camera-robot system, and thus, the computational complexity of the controller can be simplified. The Lyapunov method is employed to testify the stability of a closed-loop system. Finally, simulation results are presented to demonstrate the performance of the suggested control.


2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Shuying Peng ◽  
Wuxi Shi

In this paper, the trajectory tracking problem is investigated for a nonholonomic wheeled mobile robot with parameter uncertainties and external disturbances. In this strategy, combining the kinematic model with the dynamic model, the actuator voltage is employed as the control input, and the uncertainties are approximated by a fuzzy logic system. An auxiliary velocity controller is integrated with an adaptive fuzzy integral terminal sliding mode controller, and a robust controller is employed to compensate for the lumped errors. It is proved that all the signals in the closed system are bounded and the auxiliary velocity tracking errors can converge to a small neighborhood of the origin in finite time. As a result, the tracking position errors converge asymptotically to zeros with faster response than other existing controllers. Simulation results demonstrate the effectiveness of the proposed strategy.


1986 ◽  
Vol 1 (4) ◽  
pp. 371-378
Author(s):  
Hiroyasu Funakubo ◽  
Tsuneshi Isomura ◽  
Takashi Komeda ◽  
Yukio Inuzuka

10.5772/6224 ◽  
2008 ◽  
Vol 5 (4) ◽  
pp. 38 ◽  
Author(s):  
Umesh Kumar ◽  
Nagarajan Sukavanam

For a four wheeled mobile robot a trajectory tracking concept is developed based on its kinematics. A trajectory is a time–indexed path in the plane consisting of position and orientation. The mobile robot is modeled as a non holonomic system subject to pure rolling, no slip constraints. To facilitate the controller design the kinematic equation can be converted into chained form using some change of co-ordinates. From the kinematic model of the robot a backstepping based tracking controller is derived. Simulation results demonstrate such trajectory tracking strategy for the kinematics indeed gives rise to an effective methodology to follow the desired trajectory asymptotically.


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