Design Intelligent Model base Online Tuning Methodology for Nonlinear System

Ali Roshanzamir, Farzin Piltan, Narges Gholami mozafari, Azita Yazdanpanah, Marjan Mirshekari
2014 International Journal of Modern Education and Computer Science  
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
more » ... uzzy 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. Index Terms-PID Controller, Fuzzy logic methodology, Adaptive Techniques, Model reference fuzzy tuning. Design Intelligent Model base Online Tuning Methodology for Nonlinear System
doi:10.5815/ijmecs.2014.04.07 fatcat:qocdv6b7efgrnk6jnooronjy6m