A Review of Control Algorithm for Autonomous Guided Vehicle

Abstract

Autonomous guided vehicle is an efficient and effective platform for system control because their non-linear nature helps in analysing the control algorithms more efficiently and effectively. Path planning is essential for modelling a complete vehicle as it focuses on finding the optimal and shortest path to avoid the time complexity. This paper explains the different systems adopted for path planning of autonomous guided vehicle. Several algorithms, namely the Fuzzy control, Neural Control, Back-stepping control, Adaptive control, Sliding mode control, PID control, and linear quadratic regulator have been discussed, highlighting their advantages and disadvantages. It can be concluded that a hybrid system, that is an integration of two or more algorithms have become a common approach for controlling the autonomous guided vehicles.