In our previous publication a model for serial wound DC motors was presented and a simulation program was described that is based on this model and had been developed in MATLAB environment. The recent publication presents the latest, extended version of the program and deals with the measurement of the electromagnetic and dynamic characteristics (electric resistances, dynamic inductances, bearing resistance and brush friction torque) of the above motor. From the measured characteristics, the program simulates the operation of the motor, calculating its torque, rpm and current intensity, as a function of time. To check the accuracy of the measured characteristics, and also the proper operation of our program, locked rotor response test measurements were carried out on the motor and their results were compared with the simulated ones. Finally, a recently developed heat energy recovery system is presented, which can be used on electrical drives. Highlights A simulation model is presented for series DC motors in MATLAB environment.  The model applies characteristics depend on current intensity and rpm as input.  The set-up and procedure for measuring the above characteristics is described.  The reliability of the characteristics and model were proved by test measurements.  A heat energy recovery system applying TEG modules was developed and tested.

Previously, a dynamic model and a simulation program for series wound DC motors (SWDCM) were developed in MATLAB/Simulink for modelling them in electric vehicles and mechatronic systems. The electromagnetic characteristics of the motor (electric resistances, dynamic inductances), which serve as input parameters of the program, were also measured. Additionally, locked rotor response measurements were performed to test the accuracy of the measured electromagnetic characteristics. This paper presents the experimental procedure and the results of dynamics test measurements that were performed on the same motor, including the procedure for the determination of the necessary input dynamic parameters for the simulation. While the motor spins up from rest, the intensity of the electric current and the angular speed of the rotor are measured. Finally, the simulation and dynamic test results are compared to check the proper operation of the simulation program.

The main contribution of this paper is to present the efficiency of LabVIEW in simulating and controlling a servo system with conventional methods (PI and PID control), as well as sliding mode control (SMC). The control of an actual system with LabVIEW and NI hardware provides an efficient implementation platform, using both LabVIEW’s graphical programming and the text-based m-file language MathScript RT. Both programming environments and the connection to NI hardware are relatively easy to use, therefore, ideal for education. The graphical “coding” can help novice users to see through their algorithms. However, the mathematical background of sliding mode control is difficult compared to conventional PID control; the SMC implementation for practical uses can be quite simple, as the presented example demonstrates. The first didactic step is a simulation with the Control Design and Simulation, as well as MathScript RT Modules. Then a myRIO Student Embedded Device is used to control a real servo system. LabVIEW code can be compiled to run on computers, (soft) real-time targets, and FPGAs (hard real-time targets), so students can easily and quickly step up to real industrial measurement and control problems without the need to learn new programming environments.

The Faculty of Engineering of the University of Debrecen has a long-standing tradition of developing electric and pneumatic-driven prototype race cars. These vehicles are regular participants in domestic and international university competitions. For more conscious development, thus, for more successful racing, a vehicle dynamics simulation program was developed by our research group. One of the main parts of the above program is the simulation of the drive system, including the electric motor. The input data for the motor simulation programs are the electromagnetic and dynamic characteristics of the motor. Most of these characteristics are usually not specified in the motor catalogue; thus, they have to be measured. In this paper, a detailed description of a recently developed measurement system (MS), which is capable of measuring all the above-mentioned characteristics, is presented. Additionally, by applying it, test measurements can also be performed on the motors to check the accuracy of the output functions generated by the simulation programs. Several experimental arrangements and procedures for specific experimental tasks are also presented here as examples for the application of the MS.