Abstract
The autonomous guided vehicle is a efficient and<br />effective platform for control system. Their non-linear nature helps<br />in analysing the control algorithms more efficiently and effectively.<br />The main objective of path planning is to find the optimal and<br />shortest path avoiding the time complexity so environment can be<br />modelled completely for vehicle. The paper includes explanation<br />of different systems together with numerous algorithms have been<br />discussed with advantages and disadvantages for example: Fuzzy<br />control, Neural Control, Back-stepping control, Adaptive control,<br />Sliding mode control and PID control and linear quadratic regulator.<br />The conclusion includes the hybrid system integration based<br />on the advantages and disadvantages presented in this paper.
Publisher
Institute of Advanced Engineering and Science
Subject
Electrical and Electronic Engineering,Control and Optimization,Computer Networks and Communications,Hardware and Architecture,Information Systems,Signal Processing
Cited by
19 articles.
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