A review of control algorithm for autonomous guided vehicle
Abstract
The autonomous guided vehicle is a efficient and effective platform for control system. Their non-linear nature helps in analysing the control algorithms more efficiently and effectively. The main objective of path planning is to find the optimal and shortest path avoiding the time complexity so environment can be modelled completely for vehicle. The paper includes explanation of different systems together with numerous algorithms have been discussed with advantages and disadvantages for example: Fuzzy control, Neural Control, Back-stepping control, Adaptive control, Sliding mode control and PID control and linear quadratic regulator. The conclusion includes the hybrid system integration based on the advantages and disadvantages presented in this paper.
Keywords
Adaptive control; Control algorithms; Linear control; Non-linear control; Robust control
Full Text:
PDFDOI: http://doi.org/10.11591/ijeecs.v20.i1.pp552-562
Refbacks
- —
- —
- A Review of Control Algorithm for Autonomous Guided Vehicle
- —
- A Review of Control Algorithm for Autonomous Guided Vehicle
- —
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).