Path planning and prototype design of an AGV

Kun Hsiang Wu, Chin Hsing Chen, Juing Ming Ko, Jiann Der Lee

研究成果: Article同行評審

20 引文 斯高帕斯(Scopus)


In this paper, a path planning method using fuzzy logic control and potential field for an Automatic Guided Vehicle (AGV) is proposed. The design and implementation of an AGV prototype are also presented. From a top-view image of an environment, the chamfer distance transform is used to build the artificial potential field required. The potential field method is used to calculate the repulsive force between the vehicle and the closest obstacle, and the attractive force generated by the goal. Then the resultant force guides the mobile vehicle to its destination. When trap situations occur and the AGV may not reach the goal or even collide the obstacles, a fuzzy logic controller is proposed to modify the direction of the AGV. Based on the angle between the obstacle and the goal, and the status of the AGV, a correction angle is generated by the simple fuzzy rules. Fuzzy logic control with the characteristic of simulating human thinking renders the path of the AGV smoother and safer. A prototype of the experimental AGV is built by modifying a consumer model car. The built mobile vehicle is shown to track the desired trajectories successfully according to the path planning algorithm we proposed. A series of simulations, based on window-frame type environments with geometric obstacles, show that the fuzzy logic control is able to make the AGV escape from trap situations and generate a smoother and safer trajectory.

頁(從 - 到)147-167
期刊Mathematical and Computer Modelling
出版狀態Published - 1999 十月

All Science Journal Classification (ASJC) codes

  • 建模與模擬
  • 電腦科學應用


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