Comparison of Dynamic Response Between Maxon DCX 35 L DC Motor and WEG W22 Single Phase AC Motor Using Second Order Transfer Function Based on MATLAB Simulation.

Abstract

Accurate modeling of electric motors is essential in control system design to ensure reliable and efficient performance, especially for systems requiring precision and responsiveness. This study compares the dynamic response characteristics of two commonly used electric motors: the Maxon DCX 35 L direct current (DC) motor and the WEG W22 single phase alternating current (AC) motor. Both motors are modeled using a second order transfer function approach derived from their respective datasheets. The modeling process involves identifying electrical and mechanical parameters such as resistance, inductance, moment of inertia, torque constant, and friction coefficient. These parameters are incorporated into mathematical formulations based on Kirchhoff’s and Newton’s laws and converted into Laplace domain transfer functions. The simulation was performed in MATLAB/Simulink using a unit step input under closed loop conditions. The system response was evaluated based on key performance metrics such as rise time, settling time, peak value, and steady state error. Compared to the AC motor, the DC motor model exhibited a significantly faster response, with a rise time and settling time approximately 30–35% shorter. Both systems showed zero overshoot and high stability. The DC motor’s dynamic behavior is more suitable for applications requiring rapid control response, while the AC motor provided smoother convergence albeit with slower system dynamics. This comparative modeling study provides insight into how different motor types respond to control inputs under similar second order system assumptions. The results serve as a practical reference for selecting appropriate motor types in control applications that demand specific time domain behaviors.