Next Article in Journal
Detection of Internal Short Circuit in Lithium Ion Battery Using Model-Based Switching Model Method
Next Article in Special Issue
New Approaches to Circulating Current Controllers for Modular Multilevel Converters
Previous Article in Journal
An Optimal Augmented Monotonic Tracking Controller for Aircraft Engines with Output Constraints
Previous Article in Special Issue
Design, Modeling and Control of Magnetic Bearings for a Ring-Type Flywheel Energy Storage System
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Energies 2017, 10(1), 75; doi:10.3390/en10010075

Experimental Analysis and Full Prediction Model of a 5-DOF Motorized Spindle

School of Electrical and Information Engineering, Jiangsu University, Xuefu Road 301, 212013 Zhenjiang, China
*
Author to whom correspondence should be addressed.
Academic Editor: Paul Stewart
Received: 30 September 2016 / Revised: 27 December 2016 / Accepted: 3 January 2017 / Published: 10 January 2017
(This article belongs to the Special Issue Next-Generation Low-Carbon Power and Energy Systems)
View Full-Text   |   Download PDF [5437 KB, uploaded 10 January 2017]   |  

Abstract

The cost and power consumption of DC power amplifiers are much greater than that of AC power converters. Compared to a motorized spindle supported with DC magnetic bearings, a motorized spindle supported with AC magnetic bearings is inexpensive and more efficient. This paper studies a five-degrees-of-freedom (5-DOF) motorized spindle supported with AC hybrid magnetic bearings (HMBs). Most models of suspension forces, except a “switching model”, are quite accurate, but only in a particular operating area and not in regional coverage. If a “switching model” is applied to a 5-DOF motorized spindle, the real-time performance of the control system can be significantly decreased due to the large amount of data processing for both displacement and current. In order to solve this defect, experiments based on the “switching model” are performed, and the resulting data are analyzed. Using the data analysis results, a “full prediction model” based on the operating state is proposed to improve real-time performance and precision. Finally, comparative, verification and stiffness tests are conducted to verify the improvement of the proposed model. Results of the tests indicate that the rotor has excellent characteristics, such as good real-time performance, superior anti-interference performance with load and the accuracy of the model in full zone. The satisfactory experimental results demonstrate the effectiveness of the “full prediction model” applied to the control system under different operating stages. Therefore, the results of the experimental analysis and the proposed full prediction model can provide a control system of a 5-DOF motorized spindle with the most suitable mathematical models of the suspension force. View Full-Text
Keywords: magnetic bearing; modeling; suspension force; experimental analysis; prediction model magnetic bearing; modeling; suspension force; experimental analysis; prediction model
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, W.; Zhu, H.; Yang, H.; Chen, T. Experimental Analysis and Full Prediction Model of a 5-DOF Motorized Spindle. Energies 2017, 10, 75.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top