Software Simulation for Improving Control System Design: A Fuzzy Controller Case Study
M.C. Juan Antonio Arizaga Silva, Alejandro Medina Santiago, Mario Espinosa-Tlaxcaltecatl, Carlos Muñiz-Montero · 2026
This study explores the efficacy of software simulation in refining control system design, focusing on the implementation of a fuzzy controller within a ball-and-beam system. The proposed fuzzy controller, validated through Simulink ® simulation experiments, demonstrated robust performance in handling disturbances, inaccuracies, and noise. Employing a cascade structure for dual control, managing both beam angle and ball position, enhances disturbance rejection and overall system performance and reducing the Integral of Squared Error (ISE) and Integral of Absolute Error (IAE) compared to single-loop control strategies. The article delineates the ball-and-beam system, the fuzzy control theory, and the implementation methodology, supported by MATLAB ® / Simulink ® simulation outcomes. Phase diagrams depict the system’s adaptable response to diverse input signals, illustrating its resilience to abrupt changes. Additionally, the study underscores the benefits of Software-in-the-Loop (SIL) testing, highlighting its role in hardware emulation, cost-effectiveness, and extensive debugging capabilities in early software development stages. Overall, the integration of software simulation, particularly employing a fuzzy controller, exhibits promising advancements in control system design, emphasizing the practical applicability and advantages of these methodologies.