Fuzzy tracking method with a switching grey prediction for mobile robot

Author(s):  
Ching-Chang Wong ◽  
Bo-Chen Lin ◽  
Chi-Tai Cheng
2011 ◽  
Vol 79 ◽  
pp. 264-269 ◽  
Author(s):  
Yan Qing Wang ◽  
Yan Hui Ye ◽  
Hua Zhang

This paper proposes an Autonomous Welding Mobile Robot (AWMR) used in shipbuilding and large spherical tank welding and its control method. In this method, both the moving and rotating velocity of the mobile platform and the cross slider were controlled simultaneously. The stability of control method was proved through the use of a Liapunov function. Although any set of positive parameters makes the system stable, a condition on the parameters for the system being critically damped for a small disturbance is obtained through linearizing the system's differential equation. In the simulation, we analyzed line and circle-line tracking problem. And the tracking responses with and without velocity limited is also presented. It is shown that the output responses represent non-oscillatory property and effectiveness of the tracking method.


2012 ◽  
Vol 24 (2) ◽  
pp. 340-346 ◽  
Author(s):  
Teruyoshi Ogawa ◽  
◽  
Taro Nakamura

An omnidirectional movement mechanism is needed that can move a robot in a narrow complicated passage. However, existing mechanisms cannot achieve stable operations. We noted that a snail uses traveling waves and can achieve a stable operation because of a large landing area. We therefore developed a traveling-wave-type mobile robot (TORoIII) using a snail’s locomotive mechanism. However, the directions of the robot were restricted by the number of units, i.e., the directions corresponded to the number of units. In addition, to use this robot as an autonomous robot, self-localization method and path planning method are required. At present, these methods for this robot have not been proposed. In this study, we propose a new perfectly omnidirectional locomotion strategy for TORoIII. In addition, we propose odometry based on kinematics and path planning method based on potential method. Furthermore, we propose online path tracking method using the odometry. We experimentally confirmed the utility of these proposed methods.


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