Design Intelligent Model base Online Tuning Methodology for Nonlinear System

Design Intelligent Model base Online Tuning Methodology for Nonlinear System

Автор: Ali Roshanzamir, Farzin Piltan, Narges Gholami mozafari, Azita Yazdanpanah, Marjan Mirshekari

Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs

Статья в выпуске: 4 vol.6, 2014 года.

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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.

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PID Controller, Fuzzy logic methodology, Adaptive Techniques, Model reference fuzzy tuning

Короткий адрес: https://sciup.org/15014647

IDR: 15014647

Список литературы Design Intelligent Model base Online Tuning Methodology for Nonlinear System

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  • Alireza Siahbazi, Ali Barzegar, Mahmood Vosoogh, Abdol Majid Mirshekaran, Samira Soltani,"Design Modified Sliding Mode Controller with Parallel Fuzzy Inference System Compensator to Control of Spherical Motor", IJISA, vol.6, no.3, pp.12-25, 2014. DOI: 10.5815/ijisa.2014.03.02.
  • Narges Gholami Mozafari, Farzin Piltan, Mohammad Shamsodini, Azita Yazdanpanah, Ali Roshanzamir,"On Line Tuning Premise and Consequence FIS Based on Lyaponuv Theory with Application to Continuum Robot", IJISA, vol.6, no.3, pp.96-110, 2014. DOI: 10.5815/ijisa.2014.03.10.
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  • Mojtaba Yaghoot, Farzin Piltan, Meysam Esmaeili, Mohammad Ali Tayebi, Mahsa Piltan,"Design Intelligent Robust Model-base Sliding Guidance Controller for Spherical Motor", IJMECS, vol.6, no.3, pp.61-72, 2014.DOI: 10.5815/ijmecs.2014.03.08.
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