Parameter Identification and Transfer Function Modeling of DC FONEACC FABL3640-12-V1 Motor for Electrical Control System Applications

Abstract

This paper presents a detailed modeling study of the DC motor type FONEACC FABL3640-12-V1, focusing on parameter identification and transfer function development for simulation and control applications. Accurate motor models are crucial in control system design, enabling engineers to predict system behavior, optimize performance, and evaluate stability prior to implementation. The modeling process begins with the extraction of static and dynamic parameters from available datasheets and literature references. Key parameters, such as armature resistance, back-EMF constant, moment of inertia, and damping coefficient, are estimated using manufacturer data and standard electromechanical assumptions. Two mathematical models are developed: a first-order model for simplified applications and a second-order model that includes both electrical and mechanical dynamics. The transfer functions are derived analytically and then implemented in MATLAB/Simulink to simulate step responses. Model accuracy is evaluated by analyzing time-domain responses—specifically rise time, settling time, and steady-state error. The second-order model demonstrates higher fidelity in transient behavior, while the first-order model provides sufficient accuracy for low-complexity control tasks. Performance comparison under open-loop and closed-loop configurations further validates the model’s practical applicability. The results indicate that closed-loop control significantly improves response speed and accuracy, affirming the critical role of feedback in system performance. This study confirms that the developed models, particularly the second-order representation, can be reliably used for controller design, system identification, and further educational or industrial automation research. In addition to its academic value, the modeling framework presented in this paper offers a practical approach for students and practitioners seeking to apply DC motor models in embedded systems and control platforms.