2024

Asikainen Jussi; Roozbahani Daniel; Alizadeh Marjan; Handroos Heikki

The objective of this study was to generate two digital models based on an existing electro-hydraulic servo system aiming to identify the most effective control strategy for the real machine. The first model was developed based on the system's mathematical model using MATLAB-Simulink, while the second was constructed using the multibody dynamics of the system via the Mevea platform. The intelligent controller incorporated a fuzzy logic controller and a genetic algorithm-tuned PID controller. The proposed control platform is characterized by its universal applicability. The experiment was replicated with the actual machine. A real-time cost comparison of the control methodologies was conducted to identify the most efficient controller for the real system. The findings indicated that the genetic algorithm-tuned PID controller yielded the lowest cost function compared to other controllers. Experimental results confirmed the satisfactory performance of the proposed controller.