A Study on a Variable-Gain PID Control for a Pneumatic Servo System Using an Optimized PSO-Type Neural Network

A Study on a Variable-Gain PID Control for a Pneumatic Servo System Using an Optimized PSO-Type Neural Network

This study investigates the application of proportional–integral–derivative (PID) control enhanced with an optimized particle swarm optimization (OPSO)-type neural network (NN) to improve the control performance of a pneumatic servo system. Traditional PID methods struggle with inherent nonlineariti...

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Bibliographic Details
Main Authors: Shenglin Mu, Satoru Shibata, Daisuke Baba, Rikuto Oshita
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Actuators
Subjects:
pneumatic servo system
PID control
neural networks
optimized particle swarm optimization
Online Access:https://www.mdpi.com/2076-0825/14/5/250
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