A Design of FPGA-Based Neural Network PID Controller for Motion Control System

In the actual industrial production process, the method of adaptively tuning proportional–integral–derivative (PID) parameters online by neural network can adapt to different characteristics of different controlled objects better than the controller with PID. However, the commonly used microcontroll...

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Detalles Bibliográficos
Autores principales: Wang, Jun, Li, Moudao, Jiang, Weibin, Huang, Yanwei, Lin, Ruiquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837942/
https://www.ncbi.nlm.nih.gov/pubmed/35161635
http://dx.doi.org/10.3390/s22030889

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837942/
https://www.ncbi.nlm.nih.gov/pubmed/35161635
http://dx.doi.org/10.3390/s22030889

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