Control of Direct Current Motor by Using Artificial Neural Networks in Internal Model Control Scheme
Апстракт
In this research, control of the Direct Current motor is accomplished using
a neuro controller in the Internal Model Control scheme. Two Feed
Forward Neural Networks are trained using historical input-output data.
The first neural network is trained to identify the object's dynamic
behavior, and that model is used as an internal model in the control
scheme. The second neural network is trained to obtain an inverse model
of the object, which is applied as a neuro controller. Experiment is
conducted on the real direct current motor in laboratory conditions.
Obtained results are compared to those achieved by implementing the
Direct Inverse Control method with the same neuro controller. It was
demonstrated that the proposed control method is simple to implement and
the system robustness is achieved, which is a great benefit, aside from the
fact that no mathematical model of the system is necessary to synthesize
the controller of the real object.
Кључне речи:
Internal model control / Direct inverse control / DC motor / Artificial neural networks / Neuro controllerИзвор:
FME Transactions, 2023, 51, 1, 109-116Издавач:
- University of Belgrade - Faculty of Mechanical Engineering
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200105 (Универзитет у Београду, Машински факултет) (RS-MESTD-inst-2020-200105)
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Perišić, Natalija AU - Jovanović, Radiša PY - 2023 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5288 AB - In this research, control of the Direct Current motor is accomplished using a neuro controller in the Internal Model Control scheme. Two Feed Forward Neural Networks are trained using historical input-output data. The first neural network is trained to identify the object's dynamic behavior, and that model is used as an internal model in the control scheme. The second neural network is trained to obtain an inverse model of the object, which is applied as a neuro controller. Experiment is conducted on the real direct current motor in laboratory conditions. Obtained results are compared to those achieved by implementing the Direct Inverse Control method with the same neuro controller. It was demonstrated that the proposed control method is simple to implement and the system robustness is achieved, which is a great benefit, aside from the fact that no mathematical model of the system is necessary to synthesize the controller of the real object. PB - University of Belgrade - Faculty of Mechanical Engineering T2 - FME Transactions T1 - Control of Direct Current Motor by Using Artificial Neural Networks in Internal Model Control Scheme EP - 116 IS - 1 SP - 109 VL - 51 DO - 10.5937/fme2301109P ER -
@article{ author = "Perišić, Natalija and Jovanović, Radiša", year = "2023", abstract = "In this research, control of the Direct Current motor is accomplished using a neuro controller in the Internal Model Control scheme. Two Feed Forward Neural Networks are trained using historical input-output data. The first neural network is trained to identify the object's dynamic behavior, and that model is used as an internal model in the control scheme. The second neural network is trained to obtain an inverse model of the object, which is applied as a neuro controller. Experiment is conducted on the real direct current motor in laboratory conditions. Obtained results are compared to those achieved by implementing the Direct Inverse Control method with the same neuro controller. It was demonstrated that the proposed control method is simple to implement and the system robustness is achieved, which is a great benefit, aside from the fact that no mathematical model of the system is necessary to synthesize the controller of the real object.", publisher = "University of Belgrade - Faculty of Mechanical Engineering", journal = "FME Transactions", title = "Control of Direct Current Motor by Using Artificial Neural Networks in Internal Model Control Scheme", pages = "116-109", number = "1", volume = "51", doi = "10.5937/fme2301109P" }
Perišić, N.,& Jovanović, R.. (2023). Control of Direct Current Motor by Using Artificial Neural Networks in Internal Model Control Scheme. in FME Transactions University of Belgrade - Faculty of Mechanical Engineering., 51(1), 109-116. https://doi.org/10.5937/fme2301109P
Perišić N, Jovanović R. Control of Direct Current Motor by Using Artificial Neural Networks in Internal Model Control Scheme. in FME Transactions. 2023;51(1):109-116. doi:10.5937/fme2301109P .
Perišić, Natalija, Jovanović, Radiša, "Control of Direct Current Motor by Using Artificial Neural Networks in Internal Model Control Scheme" in FME Transactions, 51, no. 1 (2023):109-116, https://doi.org/10.5937/fme2301109P . .
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