• Corpus ID: 15181860

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

  title={Design and Simulation of a Fuzzy-Supervised PID Controller for a Magnetic Levitation System},
  author={Faissal Abdel-Hady and Sherif M. Abuelenin},
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 derivative) and modifies the parameters of the PID controller to better introduce better system response… 

Design and simulation of a hybrid controller for a multi-input multi-output magnetic suspension system

  • S. Abuelenin
  • Engineering
    2009 IEEE International Conference on Fuzzy Systems
  • 2009
A Fuzzy Logic control approach designed to stabilize a multi-input multi-output magnetic suspension system that has four cubic floaters and four actuators that apply magnetic forces, showing that the designed control scheme stabilized the system for the design constrains.

Iterative Learning Control Based Fractional Order PID Controller for Magnetic Levitation System

FOPID (Fractional Order Proportional Integral Derivative) controller and ILC (Iterative learning Control) based FOPID controller are designed in this paper for the levitation of metallic ball with desired reference at minimum transient errors.

Control and Robust Stabilization at Unstable Equilibrium by Fractional Controller for Magnetic Levitation Systems

This work examines a method to control and stabilize the levitation system in the presence of disturbance and parameter variations to minimize the magnet gap deviation from the equilibrium position.

Linear Active Disturbance Rejection Control of Magnetic Levitation System Based on Cuckoo Search

Magnetic levitation system has the characteristics of nonlinear, uncertainty, and multiple disturbances. Traditional controllers are difficult to achieve better control effects. In order to improve

On disturbance rejection in magnetic levitation

Adaptive fractional order Backstepping sliding mode controller design for a magnetic levitation system

هلاقم تاعلاطا هدیکچ لهبک یطٍّضپ ِلبقه :تفبیرد 03 يوْب 1395 :شزیذپ 28 يوْب 1395 :تیبس رد ِئارا 41 ذٌفسا 4931 یِبپ زب یسیطبٌغه رٍبٌض یص لٌََکت بِ َلگبه یکیهبٌید لذه یه رازق ُدبفتسا درَه



A fuzzy logic supervisor for PID control of unknown systems

  • R. CopelandK. Rattan
  • Computer Science
    Proceedings of 1994 9th IEEE International Symposium on Intelligent Control
  • 1994
The design of a fuzzy logic supervisor for proportional plus integral plus derivative control of unknown systems is carried out and simulation results, demonstrating improvements in the response of the systems with fuzzy supervisor, are presented.

A novel method for fuzzy self-tuning PID controllers

  • K. LouChrong-Yan KuoL. Sheu
  • Computer Science
    Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium
  • 1996
This work uses the use of the fuzzy inference mechanism in order to develop a novel on-line fuzzy self-tuning PID control scheme for improving the performance of the traditional PID controller.

Magnetic bearing control using fuzzy logic

  • J. Hung
  • Engineering
    Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting
  • 1993
A fuzzy logic approach to improve the performance of a magnetic bearing control system is presented and the relationships of attractive force to the electromagnet currents and air gap are described and compensated using fuzzy principles, rather than a precise model-based control approach.

Fuzzy Parameters Self-Tuning PID Control of Switched Reluctance Motor Based on Simulink/NCD

  • S. SongWeiguo Liu
  • Computer Science, Engineering
    2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)
  • 2006
A fuzzy parameters self-tuning PID control method is introduced, it can tune the PID parameters dynamically and can improve the dynamic and static performances of the system, but also has better robustness.

Fuzzy-tuning PID control of an inverter with rectifier-type nonlinear loads

  • L. JianK. YongChen Jian
  • Engineering
    Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435)
  • 2000
The fuzzy-tuning proportional-integral-derivative (PID) control of an inverter with rectifier-type nonlinear loads is described in this paper. The inverter system employs closed-loop instantaneous

Fuzzy Supervisory Control

Control problems in the process industry are dominated by non-linear and time-varying behaviour, many inner loops, and much interaction between the control loops. Fuzzy controllers have in some cases

Rule-based supervisory control of a two-link flexible manipulator

This paper illustrates how the hierarchical intelligent control strategy performs better than conventional control techniques for endpoint position control in the presence of flexure effects.

State feedback control for active magnetic bearings based on current change rate alone

This work presents a new sensorless control technique for active magnetic bearings (AMB) that is driven by a pair of pulsewidth-modulated (PWM) switching power amplifiers and gives a full state feedback that can stabilize the rotor.

Realization of PID controls by fuzzy control methods

  • M. Mizumoto
  • Computer Science
    [1992 Proceedings] IEEE International Conference on Fuzzy Systems
  • 1992
The author shows that proportional-integral-derivative (PID) controllers can be realized by fuzzy control methods based on the product-sum-gravity method and the simplified fuzzy reasoning method.

Microcontroller Based Applied Digital Control

This book presents the theory and application of microcontroller based automatic control systems. Microcontrollers are single-chip computers which can be used to control real-time systems. Low-cost,