Speaker:

Mr. Khaled Surur

Graduate Assistant

Control and Instrumentation Engineering Department

King Fahd University of Petroleum and Minerals

Dhahran, Saudi Arabia

Abstract:

Quadrotors have been utilized in wide applications as unmanned aerial vehicles (UAVs) thanks to their mobility and simple design, with applications including search-and-rescue, security, inspection, surveillance, tracking, building exploration, telemetry, meteorology, agriculture, and traffic management. However, quadrotors are prone to actuator faults that hinder the quadrotors’ flight capability and can ultimately render the flight control system ineffective, hence a considerable issue in quadrotor control. In this presentation, a fault-tolerant control method is introduced to address quadrotor flight control with one or multiple damaged rotors. The control method uses a combination of genetic algorithm (GA), an evolutionary algorithm, and artificial neural networks (ANN) to optimally tune PID controllers based on different present faults. The optimal controllers are evaluated based on quadrotor flight performance with the aim of sustaining stability in the presence of actuator faults.

Speaker Bio :

Mr. Khaled Surur received his B.Sc. degree in Control and Instrumentation Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia in 2016. He is currently pursuing his Master of Science (M.Sc.) degree in Systems and Control Engineering (SCE) at KFUPM. His research interests include control theory, modelling and dynamical analysis, and optimization techniques in control systems