Paper Title:
Novel Method on Using Evolutionary Algorithms for PD Optimal Tuning
  Abstract

This paper presents a method to solve the Evolutionary Algorithm (EA) problems for optimal tuning of the Proportional-Deferential (PD) controller parameters. The major efficiency of the proposed method is the Genetic Algorithm (GA) stuck avoidance as well an appropriate estimation for GA lower and upper bounds. Also by this method for the Particle Swarm Optimization (PSO) methodology the initial choice of the controller parameters can be fulfilled to achieve the acceptable performance accuracies. For both GA and PSO methods, the Linear Quadratic Regulator (LQR) obtained trend is used as the reference for the determination of the aforementioned bounds and initial guess. The presented algorithm was applied to regulate a PD controller for the attitude control of a virtual satellite and also with Hardware-in-the-loop (HIL) reaction wheels. Heavy burden trying and error was eliminated from the PD controller design which can be mentioned as the important merit of the presented study.

  Info
Periodical
Chapter
Chapter 23: Computer-Aided Design, Manufacturing, and Engineering
Edited by
Wu Fan
Pages
4977-4984
DOI
10.4028/www.scientific.net/AMM.110-116.4977
Citation
R.A. Khoshrooz, M.A.D. Vahid, M. Mirshams, M.R. Homaeinezhad, A.H. Ahadi, "Novel Method on Using Evolutionary Algorithms for PD Optimal Tuning", Applied Mechanics and Materials, Vols. 110-116, pp. 4977-4984, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jia Lin Xu, Guo Kun Zuo, Jian Hua Chen
Abstract:In order to verify the performance of the designed temperature controller of the plastic extruder using supercritical CO2, we...
2063
Authors: Wen Bo Huang, Yin Hui Zhang, Zhen Yu Jiang, Wei Hua Zhang
Chapter 8: Simulation Studies of Various Systems
Abstract:By using the Perturbation Theory and solidification coefficient method, based on the interpolation parameters for optimal control feedback...
482
Authors: Sheng Yi Yang, Sheng Jing Tang, Chao Liu, Jie Guo
Chapter 7: Control and Automation, Theory and Applications
Abstract:It had not been explored which real-time magnitude can meet the requirement of the simulation object in computer simulation system. Taking...
1746
Authors: Xi Liu, Lu Xiong, Zhuo Ping Yu, Peng Fei Yang
Chapter 2: Industrial Electronics, Measurements, Automation and Control Technology
Abstract:In this paper a sliding mode controller was designed to calculate the target yaw moment for model tracking control and a fuzzy controller was...
838
Authors: Rolf Roskam, Elmar Engels
Chapter 3: Engineering Design, Modeling, Simulation and Computational Methods
Abstract:Hardware in the Loop (HIL) systems is widely used for testing vehicle controllers in automotive industry. But algorithms for simulation of...
740