Development of PID Biocontrollers for a Ball and Plate System Feedback with Artificial Vision

This project addresses the instability and tuning difficulties inherent in control systems, especially in complex nonlinear systems like the ball and plate system. The main objective is to overcome the limitations of conventional controllers by implementing Bio PID Controllers. The methodology focuses on characterizing and mathematically modeling the ball and plate system fed back with artificial vision. Subsequently, a state-of-the-art review of bio-inspired algorithms is conducted to select the most suitable ones. The core development involves the software implementation and modification (using MATLAB® and/or LabVIEW®) of bio-inspired algorithms, adapting them to optimize the tuning of PID controllers. These modified controllers are initially tested via simulation in SIMULINK. Finally, the performance of the Bio PID Controllers is rigorously evaluated through online testing (on the real system) and comparative statistical analysis, aiming to offer an effective and robust alternative for industry and automatic control research.<br/><br/><b>Goal</b>: <br/>To develop Bio PID Controllers, optimized using an evolutionary algorithm and two swarm algorithms, to determine their real performance on a physical ball and plate system fed back with artificial vision.<br/><br/><b>Research lines</b>: <br/>Control engineering and automation technologies