• Corpus ID: 12272012

Modified PSO for Optimal Tuning of Fuzzy PID Controller

  title={Modified PSO for Optimal Tuning of Fuzzy PID Controller},
  author={Sawsan Morkos Gharghory and Hanan A. Kamal},
Fuzzy PID controllers provide a promising approach for industrial applications with many desirable features. However, the large number of parameters and rule bases make self-tuning fuzzy PID controller optimization a complex task. In this paper, a novel tuning method based on the development of the standard particle swarm optimization (PSO) is proposed for optimum design of fuzzy PID controller for multivariable system. The parameters of membership functions and PID gains are optimized using… 

Improved gravitational search algorithm for proportional integral derivative controller tuning in process control system

This research represents the additional characters in GSA to enhance the PID controller parameter tuning performance which are Linear Weight Summation (LWS) and alpha parameter range tuning.

Modeling, stability analysis and computational aspects of nonlinear fuzzy PID controllers

This paper presents mathematical models of the simplest fuzzy PID controller of Mamdani type, called the "simplest" as it employs minimum number of fuzzy sets while satisfying the control rule base that contains four rules relating all six input fuzzy sets to all four output fuzzy sets.

Optimization of PID Controller Based on PSO for Photovoltaic Dual Axis Solar Tracking in Gresik Location – East Java

164901-8080-IJET-IJENS © February 2016 IJENS I J E N S Abstract— To improve the efficiency of electricity production of solar cell panels made by adding a solar tracking system. With a sun-tracking

Fuzzy Self-Tuning PID Control of the Main Drive System for Four-High Hot Rolling Mill

The main drive system used for four-high mill is usually a double closed-loop DC motor speed regulating system. Generally, the speed controller and current controller are


  • A. Attia
  • Computer Science
    Acta Polytechnica
  • 2018
The paper proposes a design of two fuzzy and Proportional-Integral-Derivative (PID) controllers for a position tracking of the 1400 Celestron telescope that minimizes the integral absolute error (ITAE) using a modified particle swarm optimization (MPSO).

Fuzzy Tuning PID Control of Strip Rolling Mill Hydraulic APC System

Simulation results show that the fuzzy tuning PID controller can give satisfactory control effect and is compared with that of a general PID controller whose parameters was adjusted by Ziegler-Nichols method.

Fuzzy Tuning PID Control of the Rolling Mill Main Drive System

The main drive system using for four-high mill is usually a double closed loop DC motor speed regulating system. Generally, the speed controller and current controller are PID controllers, and the

MOPSO-based optimal fuzzy logic control strategy for standalone hybrid diesel-wave energy conversion system

  • A. Elgammal
  • Computer Science, Engineering
    Artif. Intell. Res.
  • 2014
Simulation results show that the proposed design approaches are efficient to find the optimalscaling factors and PID gains of the controllers and therefore improves the transient performance of the hybrid Diesel-WECS over a wide range of operating conditions, sudden load change and three-phase short circuit fault.

Fuzzy-PID Controller of robotic grinding force servo system

When a robot is used to grind or finish a curved surface ,as marine propeller surface, both contact force and feed movement must controlled at the similar time in order that the grinding tool would

Compared with PI, Fuzzy-PI and PSO-PI Controllers of Robotic Grinding Force Servo System

By grinding process, when an industrial robot is used to finish a curved surface, both feed movement and contact force must controlled at the similar time in order that the grinding tool would



Fuzzy PID Controller Using Adaptive Weighted PSO for Permanent Magnet Synchronous Motor Drives

  • Ming YangXingcheng Wang
  • Computer Science, Engineering
    2009 Second International Conference on Intelligent Computation Technology and Automation
  • 2009
The parameters of membership functions and rule bases of fuzzy logic controller are optimized by adaptive weighted particle swarm optimization (PSO), which is an efficient and simple tool for multi-objective and multi-dimensional problem.

A Hybrid of Fuzzy and Proportional-Integral-Derivative Controller for Electro-Hydraulic Position Servo System

A hybrid fuzzy PID controller for the Electro-Hydraulic Position Servo System (EHPSS) has superior performance compared to individual PID controller and fuzzy controller.

Hybrid fuzzy proportional-integral plus conventional derivative control of linear and nonlinear systems

  • M. ErY. Sun
  • Engineering, Computer Science
    IEEE Trans. Ind. Electron.
  • 2001
The proposed hybrid PID controller is derived by replacing the conventional PI controller by a two-input normalized linear fuzzy logic controller (FLC) and executing the conventional D controller in an incremental form.

Adaptive PSO Based Tuning of PID- Fuzzy and SVC-PI Controllers for Dynamic Stability Enhancement: A Comparative Analysis

In this paper, a PID fuzzy controller structure and optimal PI controller of a static Var compensator (SVC) are presented and implemented on single machine infinite bus system for improving the oscillations damping.


In this paper, a multi stage fuzzy Proportional-Integral-Derivative (PID) type controller is proposed to solve the Load Frequency Control (LFC) problem in a restructured power system that operates

A modified fuzzy PI controller for a flexible-joint robot arm with uncertainties

Developed Method of FPGA-based Fuzzy Logic Controller Design with the Aid of Conventional PID Algorithm

A developed method to design a digital fuzzy logic controller with the aid of conventional Proportional - integral - derivative (PID) controller using field programmable gate array (FPGA) using VHDL language for implementation on FPGA device.

An Effective PSO-Based Memetic Algorithm for Flow Shop Scheduling

  • Bo LiuLing WangYihui Jin
  • Computer Science
    IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
  • 2007
This paper proposes an effective particle swarm optimization (PSO)-based memetic algorithm (MA) for the permutation flow shop scheduling problem (PFSSP) with the objective to minimize the maximum