Model-Based Optimization Approach for PID Control of Pitch–Roll UAV Orientation

This study focuses on the modeling and control optimization of pitch–roll angles orientation in a quad-rotor UAV (unmanned aerial vehicle) drone system. To address challenge, PID (proportional–integral–derivative) controllers are used, which have been tuned through model-based approach. A non-linear model system is obtained further validated experimentally. The implemented Simulink to conduct optimization. controller design uses an IMC (internal control) approach establish initial parameters for controller. In subsequent phase, multiobjective taken, incorporating weighted cost functions that account IAE (integral absolute error) ITAE time-weighted forms, along with battery usage. outcomes this showcased simulations real-world platform testing.