Fuzzy-PID Control with State Estimation for the Regulation of an Aero-Pendulum System

In this paper the PID-Fuzzy controller, which combine the robustness and versatility of controllers based on fuzzy logic, were implemented to achieve superior performance in regulating an aero-pendulum system. These controllers were specifically designed to enhance the regulation of the system by improving its stability, accuracy, and response to external disturbances. Through the integration of fuzzy logic, the control system was better equipped to handle the uncertain associated with the wind-driven operation of the system. In addition, a soft sensor was developed to estimate variables that could not be directly measured, utilizing both system measurements and process knowledge. This sensor improved the precision of the control system, enabling more accurate and reliable performance. The combination of these advanced control techniques resulted in a robust and effective control solution for the aero-pendulum system, making it well-suited for use in automatic control and mechatronics laboratory settings. The PID controller was developed using the Ziegler-Nichols tuning method, and each was subsequently enhanced through the incorporation of fuzzy logic. In addition, a comparative study was conducted to evaluate the performance of the controllers, highlighting the improvements achieved through the application of fuzzy logic. Finally, the performance of the designed controller were tested in real time aero-pendulum platform.