@masterthesis{MohajeriNejad2025, type = {Bachelor Thesis}, author = {Mohajeri Nejad, Mostafa}, title = {Development and implementation of an adaptive control system for automizing and optimizing the performance of a rolling fluid (setur) hydro-turbine}, school = {Hochschule Rhein-Waal}, year = {2025}, abstract = {This thesis presents the design and implementation of an automated control system for a laboratory-scale SETUR (Sedlacek's Blade-less Rolling Fluid Turbine) hydro turbine test rig. The goal was to enable precise and repeatable experiments by automating the regulation of the turbine's water level and data acquisition process. The developed system integrates multiple sensors, including discrete liquid level sensors, pressure transducers, and a flow meter, interfaced with an Arduino-based controller. A PID-based control algorithm with gain scheduling was designed to adapt to the nonlinear flow dynamics across different operating regimes of the turbine. The control loop operates at a 0.5 s sampling rate and employs layered signal filtering and calibration routines to compensate for sensor noise, offset, and scaling errors. The complete hardware setup includes signal conditioning circuits for analog sensors, digital communication for actuator control, and real-time data monitoring via serial output. Experimental results demonstrate that the system achieves stable water-level regulation within approximately two minutes after pump activation and maintains steady-state operation without overshoot or sustained valve saturation. The overall measurement uncertainties were quantified as ±3.06 \% FS for pressure and ±5.2 \% FS for flow, meeting the predefined accuracy requirement of ≤ 5 \% FS. The developed automation platform provides a reliable foundation for further research on the SETUR turbine, including efficiency characterization, advanced control development, and future integration of IoT-based supervisory monitoring and data analysis tools.}, language = {en} }