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Multi-Core Implementation of F-16 Flight Surface Control System Using GA Based Multiple Model Reference Adaptive Control Algorithm

Wang, Xiaoru
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302130339

Abstract Details

2011, Master of Science in Electrical Engineering, University of Toledo, College of Engineering.
This thesis first of all simulates previously developed F-16 flight surface control system using direct Model Reference Adaptive Control (MRAC). It simulates all three rotation motion controls such as pitch, roll and yaw. It then incorporates numerical solution of differential equation using 4th order Runge-Kutta algorithm in the simulation. A Multiple Model Reference Adaptive Control (MMRAC) with Genetic Algorithm (GA) based model selection scheme has been proposed. The second part of this thesis is focused on implementation of the proposed algorithm on a 4-core-Architecture of Intel® i5 CPU. The sequential code was first written in C++ on .NET Framework 4. Parallel processing approaches were exploited for parallelization of the GA based MMRAC algorithm. Several optimization techniques were used to achieve the maximum speed up.
Mohsin Jamali, PhD (Committee Chair)
Mohammed Niamat, PhD (Committee Member)
Hong Wang, PhD (Committee Member)
93 p.
Electrical Engineering
Multi-core; F-16 Flight Surface Control; Model Reference Adaptive Control; Genetic Algorithm;

Recommended Citations

Citations

  • Wang, X. (2011). Multi-Core Implementation of F-16 Flight Surface Control System Using GA Based Multiple Model Reference Adaptive Control Algorithm [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302130339

    APA Style (7th edition)

  • Wang, Xiaoru. Multi-Core Implementation of F-16 Flight Surface Control System Using GA Based Multiple Model Reference Adaptive Control Algorithm. 2011. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302130339.

    MLA Style (8th edition)

  • Wang, Xiaoru. "Multi-Core Implementation of F-16 Flight Surface Control System Using GA Based Multiple Model Reference Adaptive Control Algorithm." Master's thesis, University of Toledo, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302130339

    Chicago Manual of Style (17th edition)

toledo1302130339
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© 2011, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.