A review of control algorithm for autonomous guided vehicle

Abstract

The autonomous guided vehicle is a great and important platform for control systems. Their non-linear nature helps in analysing the control algorithms more efficiently and effectively. The main purpose of path planning is to find the optimal path avoiding the time complexity so environment can be modeled completely. For path planning numerous algorithms have been proposed to solve their non-linear nature. The paper contains brief explanation on AGV application, and its controller design architecture have been discussed with advantages and disadvantages, e.g. Fuzzy control, Neural Control, Back-stepping control, Adaptive control, Sliding mode control and PID control and linear quadratic regulator. At last a brief conclusion has been drawn on the bases of strength and weakness of all algorithms. The research will help the readers to understand mobile robotic path planning with different controllers.