System identification of flight control

Other Title(s)

تعريف نظام التحكم بالطيران

Dissertant

Badwan, Muhammad Muawiyah

Thesis advisor

Tutunji, Tariq A.

Comitee Members

Ghayib, Jasim A.
Bani Yunus, Muhammad
Tawfiq, Sad Shakir

University

Philadelphia University

Faculty

Faculty of Engineering

Department

Department of Mechatronics Engineering

University Country

Jordan

Degree

Master

Degree Date

2016

English Abstract

Unmanned aerial vehicles (UAVs) are aircrafts that fly without a human pilot onboard.

UAVs have gained much interest in the research community as they play significant roles in various fields such as surveillance, search and rescue, armed attacks, and mineral exploration.

A major issue in developing appropriate controllers for UAV applications is formulating an appropriate and accurate UAV model as these aircrafts exhibit highly nonlinear behavior.

In this Thesis, experimental flight data (with four inputs and twelve state outputs) are used to identify and build a multi-input multi-output (MIMO) mathematical model of a Bixler 3 (Bix3) UAV.

Bix3 is a popular commercial fixed-wing aircraft with flight data available and shared on the web.

Flight data (for takeoff, flying, and landing) were gathered, divided into different sets, processed and used in the identification methodology.

The identification model was based on a nonlinear autoregressive exogenous model (NARX) within a feed forward neural network (FFNN) structure.

Different simulation runs (from different Bix3 flights) were used to validate the identified model.

Results show that the developed Bix3 model is very accurate as the outputs of the identified model were able to follow the original flight data with minimal error

Main Subjects

Mechanical Engineering

No. of Pages

68

Table of Contents

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-725524