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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Bibliographic Details
Main Authors: Jun Wang, Moudao Li, Weibin Jiang, Yanwei Huang, Ruiquan Lin
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/3/889