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Seminar on "Fractional Order Sliding Mode Control of Quadrotor Based on Fractional Order Model" by Mr. Khaled Bin Gaufan Ph.D. Student of CIE Dept
  • Bld. 22 Room 130

  • May 14, 2024 - May 14, 2024

  • 2 p.m. - 2:30 p.m.

Speaker:

Mr. Khaled Bin Gaufan

Ph.D. Student

Control and Instrumentation Engineering Department

King Fahd University of Petroleum and Minerals

Dhahran, Saudi Arabia

Abstract:

Quadrotor systems are becoming increasingly popular in various applications due to their manoeuvrability and versatility. Controlling these systems accurately is crucial to ensure stability and safety. To guarantee stability and safety, precise control of these systems is essential. The application of two sophisticated controllers with integer and fractional order quadrotor systems is suggested in this research study. Improving the quadrotor system's control performance, robustness, and accuracy is the objective of the study. The researchers validated the efficacy of their approach with MATLAB simulation studies. Results show that the fractional order quadrotor system performs better in terms of control performance, robustness, and accuracy when Sliding Mode Control (SMC) and Fractional Order Sliding Mode Control (FOSMC) are implemented. The overall results of the research demonstrate how fractional order modelling and control strategies can be used to enhance quadrotor system performance, which has considerable implications for the development of contemporary control engineering.

Speaker Bio :

Mr. Khaled Bin Gaufan is currently pursuing his Ph.D. degree in Systems and Control Engineering from the Control and Instrumentation Engineering Department at King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, focusing on a Fractional Order Controls, Mobile Dynamic Models, Intelligent Control, and Evolutionary Techniques for Optimization. Mr. Khaled acquired his Bachelors Degree in Control and Instrumentation Engineering and Master’s Degree in Systems and Control Engineering both from the Control and Instrumentation Engineering Department at KFUPM. His research interests are mainly on the Mobile Dynamic Models, Fractional Order and Intelligent Controls and Optimization Evolutionary Techniques..