Robust control design for aircraft controllers via memetic algorithms

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

This article develops a novel method based on the memetic algorithm for optimal feedback control design. The aircraft controllers are designed to produce desired handling qualities. The robust properties of the linear quadratic regulator are exploited to obtain the desired aircraft handling qualities with an output feedback constrained linear quadratic regulator subspace based on a cost function minimization method. Numerical examples of lateral autopilot design are optimized with the memetic algorithm. The memetic algorithm designs lateral feedback gains based on the quadratic performance index to maintain heading and roll attitude. The memetic algorithm is compared to the eigen-structure assignment, genetic algorithm and gradient-based optimization methods [21] and genetic algorithm. The memetic algorithm can derive a better solution with fewer iteration steps. Most importantly, the memetic algorithm can obtain a global optimum using mutation and thus avoid being trapped in local optima. The simulation and experimental results demonstrate that the proposed method produces useful, feasible and good robustness.

Original languageEnglish
Pages (from-to)3133-3140
Number of pages8
JournalInternational Journal of Innovative Computing, Information and Control
Volume5
Issue number10
Publication statusPublished - 2009 Oct 1

Fingerprint

Memetic Algorithm
Robust Design
Robust control
Robust Control
Control Design
Aircraft
Controller
Controllers
Regulator
Lateral
Genetic algorithms
Eigenstructure Assignment
Genetic Algorithm
Function Minimization
Feedback
Autopilot
Optimal Feedback Control
Cost Minimization
Algorithm Design
Global Optimum

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

Cite this

@article{7872a057837c4417ab14d359e7baabf1,
title = "Robust control design for aircraft controllers via memetic algorithms",
abstract = "This article develops a novel method based on the memetic algorithm for optimal feedback control design. The aircraft controllers are designed to produce desired handling qualities. The robust properties of the linear quadratic regulator are exploited to obtain the desired aircraft handling qualities with an output feedback constrained linear quadratic regulator subspace based on a cost function minimization method. Numerical examples of lateral autopilot design are optimized with the memetic algorithm. The memetic algorithm designs lateral feedback gains based on the quadratic performance index to maintain heading and roll attitude. The memetic algorithm is compared to the eigen-structure assignment, genetic algorithm and gradient-based optimization methods [21] and genetic algorithm. The memetic algorithm can derive a better solution with fewer iteration steps. Most importantly, the memetic algorithm can obtain a global optimum using mutation and thus avoid being trapped in local optima. The simulation and experimental results demonstrate that the proposed method produces useful, feasible and good robustness.",
author = "Wen-Jye Shyr",
year = "2009",
month = "10",
day = "1",
language = "English",
volume = "5",
pages = "3133--3140",
journal = "International Journal of Innovative Computing, Information and Control",
issn = "1349-4198",
publisher = "IJICIC Editorial Office",
number = "10",

}

Robust control design for aircraft controllers via memetic algorithms. / Shyr, Wen-Jye.

In: International Journal of Innovative Computing, Information and Control, Vol. 5, No. 10, 01.10.2009, p. 3133-3140.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Robust control design for aircraft controllers via memetic algorithms

AU - Shyr, Wen-Jye

PY - 2009/10/1

Y1 - 2009/10/1

N2 - This article develops a novel method based on the memetic algorithm for optimal feedback control design. The aircraft controllers are designed to produce desired handling qualities. The robust properties of the linear quadratic regulator are exploited to obtain the desired aircraft handling qualities with an output feedback constrained linear quadratic regulator subspace based on a cost function minimization method. Numerical examples of lateral autopilot design are optimized with the memetic algorithm. The memetic algorithm designs lateral feedback gains based on the quadratic performance index to maintain heading and roll attitude. The memetic algorithm is compared to the eigen-structure assignment, genetic algorithm and gradient-based optimization methods [21] and genetic algorithm. The memetic algorithm can derive a better solution with fewer iteration steps. Most importantly, the memetic algorithm can obtain a global optimum using mutation and thus avoid being trapped in local optima. The simulation and experimental results demonstrate that the proposed method produces useful, feasible and good robustness.

AB - This article develops a novel method based on the memetic algorithm for optimal feedback control design. The aircraft controllers are designed to produce desired handling qualities. The robust properties of the linear quadratic regulator are exploited to obtain the desired aircraft handling qualities with an output feedback constrained linear quadratic regulator subspace based on a cost function minimization method. Numerical examples of lateral autopilot design are optimized with the memetic algorithm. The memetic algorithm designs lateral feedback gains based on the quadratic performance index to maintain heading and roll attitude. The memetic algorithm is compared to the eigen-structure assignment, genetic algorithm and gradient-based optimization methods [21] and genetic algorithm. The memetic algorithm can derive a better solution with fewer iteration steps. Most importantly, the memetic algorithm can obtain a global optimum using mutation and thus avoid being trapped in local optima. The simulation and experimental results demonstrate that the proposed method produces useful, feasible and good robustness.

UR - http://www.scopus.com/inward/record.url?scp=70350497153&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70350497153&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:70350497153

VL - 5

SP - 3133

EP - 3140

JO - International Journal of Innovative Computing, Information and Control

JF - International Journal of Innovative Computing, Information and Control

SN - 1349-4198

IS - 10

ER -