Nonlinear PID Controller Parameters Optimization Using Improved Particle Swarm Optimization Algorithm for the CNC System

Nonlinear PID Controller Parameters Optimization Using Improved Particle Swarm Optimization Algorithm for the CNC System

In this paper, a nonlinear PID (NLPID) controller is used to replace a traditional PID controller to overcome the influence of nonlinear factors in the computer numerical control (CNC) system. A particle swarm optimization based on a generalized opposition-based learning (G-PSO) algorithm is propose...

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Bibliographic Details
Main Authors: Xianghan Sun, Ning Liu, Rui Shen, Kexin Wang, Zhijie Zhao, Xianjun Sheng
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
opposition-based learning
particle swarm optimization
nonlinear PID controller
CNC system
Online Access:https://www.mdpi.com/2076-3417/12/20/10269

Internet

https://www.mdpi.com/2076-3417/12/20/10269

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