Aerospace Engineering, Control System Design
At the Mechanical Engineering department office
Appointment on Visitation important
Topic: Artificial Neural Network Control Of Aerospace Vehicle
The ability to control an aerospace vehicl begins with a mathematical model that captures the control variable. This is then followed by simulation or solving such a model in a Problem Solving Environment(PSE). For a perfect choice, MATLAB/Simulink is most appropriate due to its large database of pre-design aerospace models.
The aim is to control the attitude(pitch) of the aerospace vehicle during the flight until it reaches its destination.
A deep neural network control algorithm will be explored for the control design. This will be compared with the Optimal control algorithm of H2.
The simulation results expected from this research are that the DNN will outperform the H2 control algorithm.
|1.||M.Eng (Master of Engineering) (Instrumentation)||St. Petersburg State University of Aerospace Instrumentation||2010|
ALIYU BHAR is a Assistant Lecturer at the Department of Mechanical Engineering
ALIYU has a M.Eng (Master of Engineering) in Instrumentation from St. Petersburg State University of Aerospace Instrumentation