Using Fuzzy Logic Scheme for Automated Guided Vehicle To Track Following Path Under Various Load

Ha Quang Thinh Ngo, Anh Son Tran

2018 · 19 citations · 8 references

Concepts

Abstract

In the industrial working area, it is complex to predict any problems such as lift up and down the delivered goods. It may lead to unstable movement while automated guided vehicle tracks the trajectory. In this research, the implementation of Fuzzy Inference System in AGV to stabilize the tracking error under various loads conditions. In the experiment, AGV operates in a real industrial condition with variation of loads. The results indicate that vehicle can work well regardless of the carried loads.

References

8