@ARTICLE{Fellag_Ratiba_Comparative_2024,
 author={Fellag, Ratiba and Belhocine, Mahmoud},
 volume={vol. 71},
 number={No 3},
 journal={Archive of Mechanical Engineering},
 pages={323-349},
 howpublished={online},
 year={2024},
 publisher={Polish Academy of Sciences, Committee on Machine Building},
 abstract={This study investigates advanced control techniques to evaluate the trajectory tracking control of a two-degrees-of-freedom (2-DOF) helicopter system based on simulation and hardware implementation experiments. For this, a Quanser Aero 2 platform and its QUARC software, integrated within MATLAB/Simulink, are used to design and implement multiple controllers, including Proportional Integral Derivative (PID), Fuzzy PID, and Adaptive Neuro Fuzzy Inference System (ANFIS) controllers. A two-phase approach was followed to assess and compare these controllers' ability to handle parametric uncertainties, unmodeled dynamics, and matched disturbances. Firstly, simulation experiments were conducted using an uncertain system model, considering the controller's responses in scenarios with and without cross-coupling and matched disturbances. Subsequently, hardware experiments were conducted under the same conditions to validate the simulation results, providing real-time performance comparisons. Finally, a rigorous quantitative assessment based on multiple performance metrics including Root Mean Square Error (RMSE), peak value, Integral Square Error (ISE), Integral of Absolute Error (IAE), and Integral of Time-multiplied Absolute Error (ITAE) demonstrated overperformance achieved using ANFIS for pitch control and Fuzzy PID for yaw control.},
 type={Article},
 title={Comparative analysis of PID, fuzzy PID, and ANFIS controllers for 2-DOF helicopter trajectory tracking: simulation and hardware implementation},
 URL={http://journals.pan.pl/Content/132638/PDF/AME_151331.pdf},
 doi={10.24425/ame.2024.151331},
 keywords={ANFIS, fuzzy logic, helicopter, Quanser Aero 2, PID, matched disturbances},
}