Stabilization of Non-Linear System Using Single Input Neuro-Fuzzy Logic Controller Based on Radial Basis Function Network

نویسندگان

  • Ravi Kumar Soni
  • M. J. Nigam
چکیده

This paper proposes a Single Input Neuro-fuzzy Logic Controller based on Radial Basis Function Network (SI-NFRBFN) for non-linear systems. To obtain single input from multi inputs a Distance Method is suggested. Using this method all the uncertain inputs are simplified into a single input known as distance. With the help of this variable the control unit matrix introduced in Hybrid Neuro-fuzzy Logic Controller based on Radial Basis Function Network (HNFRBFN) is reduced from its 2-dimensional state to a single dimension state, without much affecting the response of the system. By obtaining single dimensional control matrix it is seen that the computational analysis in the learning part of HNFRBFN controller reduces drastically. Due to this the tuning effort and execution time of the proposed SI-NFRBFN controller is minimized. The simulation results show that the SI-NFRBFN controller provides better performance and is more efficient in comparison to HNFRBFN controller.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Adaptive fuzzy sliding mode and indirect radial-basis-function neural network controller for trajectory tracking control of a car-like robot

The ever-growing use of various vehicles for transportation, on the one hand, and the statistics ofsoaring road accidents resulting from human error, on the other hand, reminds us of the necessity toconduct more extensive research on the design, manufacturing and control of driver-less intelligentvehicles. For the automatic control of an autonomous vehicle, we need its dynamic...

متن کامل

Performance Improvement of Direct Torque Controlled Interior Permanent Magnet Synchronous Motor Drives Using Artificial Intelligence

The main theme of this paper is to present novel controller, which is a genetic based fuzzy Logic controller, for interior permanent magnet synchronous motor drives with direct torque control. A radial basis function network has been used for online tuning of the genetic based fuzzy logic controller. Initially different operating conditions are obtained based on motor dynamics incorporating...

متن کامل

Tuning of a Neuro-fuzzy Controller by Genetic Algorithms with an Application to a Coupled-tank Liquid-level Control System

Fuzzy logic, neural networks and genetic algorithms are three popular artificial intelligence techniques that are widely used in many applications. Due to their distinct properties and advantages, they are currently being investigated and integrated to form new models or strategies in the areas of system control. In this paper, a neuro-fuzzy controller (referred to as NFCGA) based on the radial...

متن کامل

Impact of Structural Components of Market on the Markup Level Based on Radial Basis Neural Network and Fuzzy Logic

This paper aims to evaluate the impact of several indices of market structure including entry to barrier, economies of scale and concentration degree on 140 active industries using the digit. Accordingly, we apply three methods including cost disadvantages ratio ( ), Herfindahl–Hirschman concentration index ( ) and Comanor and Willson criterion in order to assess the economies of scale and usin...

متن کامل

Intelligent methods for complex systems control engineering

This thesis proposes an intelligent multiple-controller framework for complex systems that incorporates a fuzzy logic based switching and tuning supervisor along with a neural network based generalized learning model (GLM). The framework is designed for adaptive control of both Single-Input Single-Output (SISO) and MultiInput Multi-Output (MIMO) complex systems. The proposed methodology provide...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015