Speed Control of Separately Excited DC Motor using Fuzzy Neural Model Reference Controller
Autor: | Waleed I. Hameed, Khearia A. Mohamad |
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Rok vydání: | 2012 |
Předmět: |
Fuzzy neural controller
Electronic speed control Engineering business.industry Fuzzy neural Speed control Chopper circuit Control engineering Hysteresis current control DC motor Separately excited DC motor Chopper circuit Hysteresis current control Speed control Model reference adaptive controller Fuzzy neural controller Software Robustness (computer science) Control theory Excited state Model reference adaptive controller MATLAB business Separately excited DC motor computer computer.programming_language |
Zdroj: | International Journal of Instrumentation and Control Systems. 2:27-39 |
ISSN: | 2319-412X |
DOI: | 10.5121/ijics.2012.2403 |
Popis: | Conventional controllers are generally used to control the speed of the separately excited DC motors in various industrial applications. It is found to be simple and high effective if the load disturbances is small. So the drawback of Conventional controllers when high load has been applied to the DC motor. This paper presents the speed control of a separately excited dc motor using Fuzzy Neural Model Referance controller. The system has been implemented using Matlab/Simulink software. The simulation results show that presenting controller give good performance and high robustness in load disturbance. |
Databáze: | OpenAIRE |
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