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International Journal of Information Engineering and Electronic Business(IJIEEB)

ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)

Published By: MECS Press

IJIEEB Vol.6, No.4, Aug. 2014

Design High-Efficiency Intelligent PID like Fuzzy Backstepping Controller for Three Dimension Motor

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Author(s)

Mahsa Piltan, Farzin Piltan, Mojtaba Yaghoot, Saman Rahbar, Mohammad Ali Tayebi

Index Terms

PID Like Fuzzy Control;Backstepping Controller;P+D Like Fuzzy Control;P+I Like Fuzzy Control;Three Dimension Spherical Motor

Abstract

The minimum rule base Proportional Integral Derivative (PID) Fuzzy backstepping Controller for three dimensions spherical motor is presented in this research. The popularity of PID Fuzzy backstepping controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy backstepping controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 7 × 7 × 7 = 343 rules. It is too much work to write 343 rules. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PI-like controller and a PD-like fuzzy controller to have the minimum rule base. However backstepping controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters of each dimension, this controller is work based on spherical motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear three dimension spherical motor’s dynamic equation. This research is used to reduce or eliminate the backstepping controller problem based on minimum rule base fuzzy logic theory to control of spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.

Cite This Paper

Mahsa Piltan, Farzin Piltan, Mojtaba Yaghoot, Saman Rahbar, Mohammad Ali Tayebi,"Design High-Efficiency Intelligent PID like Fuzzy Backstepping Controller for Three Dimension Motor", IJIEEB, vol.6, no.4, pp.52-62, 2014. DOI: 10.5815/ijieeb.2014.04.08

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[54]Mohammad Shamsodini, Farzin Piltan, Mahdi Jafari, Omid reza Sadrnia, Omid Mahmoudi,"Design Modified Fuzzy Hybrid Technique: Tuning By GDO", IJMECS, vol.5, no.8, pp.58-72, 2013.DOI: 10.5815/ijmecs.2013.08.07

[55]Mahdi Mirshekaran, Farzin Piltan,Zahra Esmaeili, Tannaz Khajeaian, Meysam Kazeminasab,"Design Sliding Mode Modified Fuzzy Linear Controller with Application to Flexible Robot Manipulator", IJMECS, vol.5, no.10, pp.53-63, 2013.DOI: 10.5815/ijmecs.2013.10.07

[56]Meysam Kazeminasab, Farzin Piltan, Zahra Esmaeili, Mahdi Mirshekaran, Alireza Salehi ,"Design Parallel Fuzzy Partly Inverse Dynamic Method plus Gravity Control for Highly Nonlinear Continuum Robot", IJISA, vol.6, no.1, pp.112-123, 2014. DOI: 10.5815/ijisa.2014.01.12.

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[58]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

[59]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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