Implementation of Fuzzy Controller to Magnetic Levitation System

نویسندگان

  • Amit Kumar Choudhary
  • S. K. Nagar
  • J. P. Tiwari
چکیده

-Elimination of frictional losses has been receiving large attention to reduce power consumption and the maintenance cost thus increasing the power efficiency. Considering the above facts, Magnetic levitation technology has given the contribution in industry as a part. Now, since Maglev's are highly nonlinear and inherently unstable, the objective is to design a controller that would be an attractive alternative to the existing classical or modern controllers challenging Non-linear control systems without the requirement of any system model or complex mathematical equations governing the transfer function. These requirements raised the design and analysis of Fuzzy Logic Controllers (FLC). Furthermore, the investigation on Proportional Integrated Derivative Controller (PID) is also reported here and its output is compared with that of Fuzzy controller to control the ball levitation in the air. The proposed controllers for MAGLEV system is simulated by using MATLAB/SIMULINK and implemented on a laboratory-scale magnetic levitation system.

برای دانلود 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

Tuned Parameters of PID for Optimization of Losses in Magnetic Levitation System

In this paper a new method is proposed for determining PID controller parameters in order to decrease losses in levitation system of magnetic trains. It is assumed that this system is a hybrid system and it consists of electric and permanent magnet. For optimization of losses initially AC losses of magnetic levitation system are calculated. Linear model of levitation system as well as modeling ...

متن کامل

Design & Implementation of Fuzzy Parallel Distributed Compensation Controller for Magnetic Levitation System

This study applies technique parallel distributed compensation (PDC) for position control of a Magnetic levitation system. PDC method is based on nonlinear Takagi-Sugeno (T-S) fuzzy model. It is shown that this technique can be successfully used to stabilize any chosen operating point of the system. All derived results are validated by experimental and computer simulation of a nonlinear mathema...

متن کامل

Design of TS-PDC type Fuzzy Controller and stabilization of Magnetic Levitation System

In this paper technique applies is known as parallel distributed compensation (PDC). This PDC technique is used for the position control of a Magnetic Levitation system. Parallel Distributed Compensation technique is based on the TS-PDC type fuzzy model. In this paper it is shown that this PDC technique can be successfully used for the stabilization of Magnetic Levitation System at any arbitrar...

متن کامل

Design and Simulation of a Fuzzy-Supervised PID Controller for a Magnetic Levitation System

Abstract: In this paper, we present the design and simulation of a new fuzzy logic supervisory control approach that is designed to improve the performance of a PID controlled magnetic levitation system, such systems are inherently unstable and require means of control to stabilize their operation; the fuzzy logic controller continuously monitors system variables (error signal, and its derivati...

متن کامل

Digital Control of Magnetic Levitation System using Fuzzy Logic Controller

This paper deals with the control aspects of magnetic levitation system using fuzzy logic controller (FLC). The magnetic levitation system is a mechatronic system already acknowledged and accepted by the field experts. For such a system it is desired to proposed a suitable controller for positioning a metal sphere in air space by the help of an electromagnetic force. In the ideal situation, the...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013