- Tytuł:
- Neurocontrolled car speed system
- Autorzy:
-
Nakonechnyi, Markiyan
Ivakhiv, Orest
Świsulski, Dariusz - Powiązania:
- https://bibliotekanauki.pl/articles/27314203.pdf
- Data publikacji:
- 2022
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
neural controller
PID-algorithm of control
dynamic object
neural networks
electric car
speed control - Opis:
- The features of the synthesis of neural controllers for the car speed control system are considered in this article. The task of synthesis is to determine the weight coefficients of neural networks that provide the implementation of proportional and proportional-integralderivative control laws. The synthesis of controllers is based on an approach that uses a reversed model of the standard. A model of the car speed control system with the use of permitting subsystems has been developed, with the help of the synthesized controller that is connected under certain specified conditions. With the iterative programming and mathematical modeling environment in MATLAB, and using the Simulink package, a structural scheme for controlling the speed of the car was constructed and simulated using synthesized neural controllers.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 13--21
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł