Volume 43, Issue 3, September 2024, Pages 786–799
Yao Bokovi1, Akoro Edjadessamam2, and Tevi Kokou Sévérin3
1 Département de Génie Electrique, Ecole Nationale Supérieure d’Ingénieurs (ENSI), Centre d’Excellence Régional pour la Maîtrise de l’Electricité (CERME), Université de Lomé (UL), BP: 1515, Lomé, Togo
2 CERME (Centre d’Excellence Régional pour la Maîtrise de l’Electricité, Laboratory of Research in Engineering Sciences (LARSI), Université de Lomé, Lomé, Togo
3 EPL (Ecole Polytechnique de Lomé), Université de Lomé, Lomé, Togo
Original language: English
Copyright © 2024 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This paper studies the control of a DC machine in a Matlab/Simulink environment, more specifically the shunt machine. We first highlight the modeling of a shunt machine and then control it by acting on each parameter, first in open loop, then in closed loop, while studying the system’s performance. Finally, introduce the appropriate correction to improve system performance. The second part consisted in simulating the operation of the shunt-excited DC machine in a Matlab/Simulink environment. The more the electric motors are loaded, the lower the rotational speed. In order to bring the motor speed back to its nominal value, two types of control were proposed in this work: control by variation of the armature voltage U_a and control by variation of the excitation current I_e. Simulation of these two types of control, in our case using Matlab/Simulink software, showed the strengths and weaknesses of each type of control, depending on whether a PI corrector is integrated or not.
Author Keywords: Closed loop, Open loop, Closed loop transfer function, Open loop transfer function, DC machine, Proportional-Integral-Derivative.
Yao Bokovi1, Akoro Edjadessamam2, and Tevi Kokou Sévérin3
1 Département de Génie Electrique, Ecole Nationale Supérieure d’Ingénieurs (ENSI), Centre d’Excellence Régional pour la Maîtrise de l’Electricité (CERME), Université de Lomé (UL), BP: 1515, Lomé, Togo
2 CERME (Centre d’Excellence Régional pour la Maîtrise de l’Electricité, Laboratory of Research in Engineering Sciences (LARSI), Université de Lomé, Lomé, Togo
3 EPL (Ecole Polytechnique de Lomé), Université de Lomé, Lomé, Togo
Original language: English
Copyright © 2024 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This paper studies the control of a DC machine in a Matlab/Simulink environment, more specifically the shunt machine. We first highlight the modeling of a shunt machine and then control it by acting on each parameter, first in open loop, then in closed loop, while studying the system’s performance. Finally, introduce the appropriate correction to improve system performance. The second part consisted in simulating the operation of the shunt-excited DC machine in a Matlab/Simulink environment. The more the electric motors are loaded, the lower the rotational speed. In order to bring the motor speed back to its nominal value, two types of control were proposed in this work: control by variation of the armature voltage U_a and control by variation of the excitation current I_e. Simulation of these two types of control, in our case using Matlab/Simulink software, showed the strengths and weaknesses of each type of control, depending on whether a PI corrector is integrated or not.
Author Keywords: Closed loop, Open loop, Closed loop transfer function, Open loop transfer function, DC machine, Proportional-Integral-Derivative.
How to Cite this Article
Yao Bokovi, Akoro Edjadessamam, and Tevi Kokou Sévérin, “Modeling the analog control of a DC machine in a MATLAB environment: Case of a shunt machine,” International Journal of Innovation and Applied Studies, vol. 43, no. 3, pp. 786–799, September 2024.
