• Corpus ID: 12736831

Design and Performance of PID and Fuzzy Logic Controller with Smaller Rule Set for Higher Order System

  title={Design and Performance of PID and Fuzzy Logic Controller with Smaller Rule Set for Higher Order System},
  author={S. R. Vaishnav and Zafar J. Khan}
smaller rule set is proposed. Simulation results are demonstrated. Performance analysis shows the effectiveness of the proposed Fuzzy logic controller as compared to the ZN tuned PID controller & fine tuned PID controller. 

Figures and Tables from this paper

Speed Control of Permanent Magnet DC Motor by using Combination of Adaptive Controller and Fuzzy Controller

A novel controller based on adaptive controller and fuzzy controller for Permanent Magnet Direct Current motor will be achieved the shorter settling time and also lower overshoot and steady state error.

Simulation performance of PID and fuzzy logic controller for higher order systems

This paper presents design of PID controller using Ziegler–Nichols (ZN) technique for higher order systems and proposes a fuzzy logic controller to present better control compared with the existing PID controller.

Design of PID , Fuzzy PD / PID and Single Input Fuzzy Logic Controller for Higher Order System

It is shown that the inference rule table of a two-input FLCs for Higher Order System can be reduced to form a Single Input Fuzzy Logic Controller (SIFLC), which can be easily implemented using a lookup table.

Comparative Analysis of Fuzzy Logic Controller and Conventional PID for Temperature Control

From the result the fuzzy logic controller has small overshoot and fast response as comp ared to PID controller and conventional PID controller for temperature control.

Performance of tuned PID controller and a new hybrid fuzzy PD + I controller

Design of PID controller based on Ziegler Nichols (ZN) step response method, its modified form, Pole Placement method and Robust PID controller design based on root locus approach are described.

The control system modeling of winder with hybrid Fuzzy-PID controller

  • V. CazacI. Nuca
  • Computer Science
    2016 International Conference and Exposition on Electrical and Power Engineering (EPE)
  • 2016
The paper trying to present design a hybrid Fuzzy-PID controller, to increase the performance of the winder for high speed wire drawing machine, using fuzzy logic and mathematical model of the PID controller as a basis.

Implementation of LFC Based Fuzzy Logic Controller for the Tunisian Power System

Simulation results for the Tunisian power system interconnected to the Italian system with HVDC link prove the efficiency and the superiority of Fuzzy Logic controller compared with the conventional PI controller.

Fuzzy Logic Controller Design And Simulation For Industrial Application

This study compares the performance of proportional derivative, conventional PID controllers, and fuzzy logic controllers using MATLAB and shows that the fuzzy logic controller performs more quickly and with less overshoot than PID and PD controllers.

Design and Simulation of PD , PID and Fuzzy Logic Controller for Industrial Application

It is proved that the fuzzy logic controller has small overshoot and fast response as compared to PID controller and PD controller and the Fuzzy logic controller is better than the conventionally used PID controller.

Zero overshoot and fast transient response using a fuzzy logic controller

  • B. SaeedB. Mehrdadi
  • Computer Science
    The 17th International Conference on Automation and Computing
  • 2011
A comparative case study shows that the proposed fuzzy controller is highly effective and outperforms the PID controller in achieving a zero overshoot response and enhancing the output transient response.



Design of PID & Fuzzy Logic Controller for Higher Order System

Fuzzy gain scheduling of PID controllers

The development of a scheme for fuzzy gain scheduling of PID (proportion-integral-derivative) controllers for process control is described and results demonstrate that better control performance can be achieved in comparison with the controllers of J. Nichols and T. Kitamori's PID controllers.

The dynamic fuzzy method to tune the weight factors of neural fuzzy PID controller

The result of running shows that the neural fuzzy PID controller with PFIB has the better and satisfactory behavior for real time industrial control processing.

A developed method of tuning PID controllers with fuzzy rules for integrating processes

A fuzzy tuning scheme for PID controller settings is developed for integrator plus time delay processes in this paper, in which a fuzzy rule base reasoning method are utilized on-line to determine a tuning parameter /spl alpha/ based on the error and the first change of the error of the process.

Design of adaptive fuzzy PID tuner using optimization method

  • Jingwei XuX. Feng
  • Computer Science
    Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)
  • 2004
A novel method to design the fuzzy PID tuners which combine the PID control and fuzzy control in order to improve the system performance for complex systems in which the normal PID controller is not suitable in such a case.

PID controllers: recent tuning methods and design to specification

A brief summary of PID theory is given, then some of the most-used PID tuning methods are discussed and some the more recent promising techniques are explored.

PID control system analysis, design, and technology

It is seen that many PID variants have been developed in order to improve transient performance, but standardising and modularising PID control are desired, although challenging, and the inclusion of system identification and "intelligent" techniques in software based PID systems helps automate the entire design and tuning process to a useful degree.

PID Controllers: Theory, Design, and Tuning

Fuzzy controller : Choosing an appropriate & smallest rule set

  • International Journal of Computational Cognition
  • 2002

Fuzzy Control & Modeling:Analytical foundations and applications

  • Fuzzy Control & Modeling:Analytical foundations and applications
  • 2000