Thermal Error Model of Linear Motor Feed System Based on Bayesian Neural Network
The linear motor feed system has been in service in complex working conditions for a long time, thus causing the nonuniform distribution of the temperature field distribution. Thus, the thermal error has become a key factor affecting system motion accuracy. In order to maximize the accuracy and effi...
Saved in:
Main Authors: | Shengsen Liu, Zeqing Yang, Qiang Wei, Yingshu Chen, Libing Liu |
---|---|
Format: | article |
Language: | EN |
Published: |
IEEE
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/a57203670e4c4ba8a5bd2947401a8244 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Thermal Error Modeling of Motorized Spindle Based on BP Neural Network Optimized by Beetle Antennae Search Algorithm
by: Zhaolong Li, et al.
Published: (2021) -
Electrical Load Demand Forecasting Using Feed-Forward Neural Networks
by: Eduardo Machado, et al.
Published: (2021) -
POWER CHARACTERISTICS OF A VIBRATOR WITH A LINEAR NONSALIENT-POLE ARMATURE MOTOR DRIVE
by: R.P. Bondar
Published: (2014) -
Force and Velocity Ripple Reduction of the New Linear Motor
by: Meiling Tang, et al.
Published: (2021) -
Modeling and control design simulations of a linear flux-switching permanent-magnet-levitated motor
by: Rafal P. JASTRZEBSKI, et al.
Published: (2017)