Design Intelligent Model base Online Tuning Methodology for Nonlinear System

Autor:	Marjan Mirshekari, Narges Gholami Mozafari, Ali Roshanzamir, Azita Yazdanpanah, Farzin Piltan
Rok vydání:	2014
Předmět:	Nonlinear system Adaptive control Computer science Control theory PID controller Robot Process control MATLAB computer Fuzzy logic Computer Science Applications Education computer.programming_language
Zdroj:	International Journal of Modern Education and Computer Science. 6:46-56
ISSN:	2075-017X 2075-0161
DOI:	10.5815/ijmecs.2014.04.07
Popis:	In various dynamic parameters systems that need to be training on-line adaptive control methodology is used. In this paper fuzzy model-base adaptive methodology is used to tune the linear Proportional Integral Derivative (PID) controller. The main objectives in any systems are; stability, robust and reliability. However PID controller is used in many applications but it has many challenges to control of continuum robot. To solve these problems nonlinear adaptive methodology based on model base fuzzy logic is used. This research is used to reduce or eliminate the PID controller problems based on model reference fuzzy logic theory to control of flexible robot manipulator system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8f8ffeadb9eab526e50abc907b108a40 https://doi.org/10.5815/ijmecs.2014.04.07 Zobrazit plný text záznamu