# Dynamic Test Measurements and Simulation on a Series Wound DC Motor
## 4 Summary  
In the recent study, the proper operation and accuracy of our simulation program for series wound DC motors were checked by dynamic test measurements. Additionally, the necessary dynamic parameters (moments of inertia of the rotor, bearing and brush friction torques on the rotor) for the simulation were measured, applying a novel procedure. The percentage of accuracy of the simulated current intensities related to the measured ones is varied between 93-99%, in all cases, while regarding the angular speed between 96-99%, which validate our simulation program. The motor simulation program block can be built into our vehicle dynamic simulation program, enabling the precise dynamic simulation of vehicles driven by a series wound DC motor. Our vehicle dynamic simulation program is a useful tool for prototype race car developers to predict the performance of a car in a given race situation. Moreover, applying our program--complementing it with an optimising procedure--the optimal technical parameters and characteristics of a vehicle can be computed for a given task in a competition. The results of the recent study in details are as follows:  
An experimental set-up was developed for dynamic test measurements on electric motors. Applying the set-up, the intensity of electric current through the motor, the speed of the rotor, and the terminal voltage of the battery can be measured in real time, while the rotor is spinning up from rest and then slowing down after the voltage is switched off from it. Our simulation program for series wound DC motors was upgraded by taking the time dependence of the terminal voltage of the battery into account. Experimental procedures were developed for the measurement of the dynamic parameters of the motor, which serve as input parameters of the simulation program. Namely, two different experimental methods were developed for the measurement of the moments of inertia and friction torque of the rotor, and then their advantages and drawbacks were discussed. Dynamic test measurements were performed applying different mechanical loads (moment of inertia) on the rotor. During the measurements, voltage was switched on the motor, and the electric current intensity through the motor and the speed of the rotor were measured as a function of time. Following that, simulations were performed applying the same input parameters, and then the results of the test measurements and simulations were compared. The measured and simulated functions are in a good agreement, which confirms that our simulation program works properly, and the dynamic and electromagnetic parameters of the motor were measured accurately. Previously, a program for BLDC motor simulation had been developed [6]. To determine the input parameters of this program, we intend to measure the electromagnetic and dynamic parameters of a given BLDC motor in the near future with our recently developedmeasurement system. Following that, we plan to perform dynamic test measurements on the motor and compare their results with the ones of the simulation. Previously, we applied our vehicle dynamic simulation program for the simulation of the race car which was the winner of the MVM Energy Race in 2015 [5]. In the near future, we intend to measure the vehicle dynamic functions (position-, velocity-, and acceleration-time functions of the vehicle, angular velocity- and acceleration-time functions of the driven wheels) of the same car and compare the results of the measurements and simulations. This way, we intend to check the proper operation and accuracy of our simulation program. Determination of dynamic parameters using deterministic artificial intelligence applied to DC motors [21] can be also an interesting follow-on research. The authors of this article recommend it to the experts in the above field as an interesting research topic. Conceptualization, G.A.S. ; methodology, J.K., A.S., G.A.S. ; software, A.S.; validation, J.K., G.A.S. ; formal analysis, A.S., G.A.S. ; investigation, J.K., A.S., G.A.S. ; resources, J.K., T.M., A.S., G.A.S.