Experimental Analysis and Full Prediction Model of a 5-DOF Motorized Spindle
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-o...
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MDPI AG
2017-01-01
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Online Access: | http://www.mdpi.com/1996-1073/10/1/75 |
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author | Weiyu Zhang Huangqiu Zhu Hengkun Yang Tao Chen |
author_facet | Weiyu Zhang Huangqiu Zhu Hengkun Yang Tao Chen |
author_sort | Weiyu Zhang |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-11T14:05:39Z |
format | Article |
id | doaj.art-3565a132832e4c4ab5314408043a3b50 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-04-11T14:05:39Z |
publishDate | 2017-01-01 |
publisher | MDPI AG |
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series | Energies |
spelling | doaj.art-3565a132832e4c4ab5314408043a3b502022-12-22T04:19:53ZengMDPI AGEnergies1996-10732017-01-011017510.3390/en10010075en10010075Experimental Analysis and Full Prediction Model of a 5-DOF Motorized SpindleWeiyu Zhang0Huangqiu Zhu1Hengkun Yang2Tao Chen3School of Electrical and Information Engineering, Jiangsu University, Xuefu Road 301, 212013 Zhenjiang, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Xuefu Road 301, 212013 Zhenjiang, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Xuefu Road 301, 212013 Zhenjiang, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Xuefu Road 301, 212013 Zhenjiang, ChinaThe 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.http://www.mdpi.com/1996-1073/10/1/75magnetic bearingmodelingsuspension forceexperimental analysisprediction model |
spellingShingle | Weiyu Zhang Huangqiu Zhu Hengkun Yang Tao Chen Experimental Analysis and Full Prediction Model of a 5-DOF Motorized Spindle Energies magnetic bearing modeling suspension force experimental analysis prediction model |
title | Experimental Analysis and Full Prediction Model of a 5-DOF Motorized Spindle |
title_full | Experimental Analysis and Full Prediction Model of a 5-DOF Motorized Spindle |
title_fullStr | Experimental Analysis and Full Prediction Model of a 5-DOF Motorized Spindle |
title_full_unstemmed | Experimental Analysis and Full Prediction Model of a 5-DOF Motorized Spindle |
title_short | Experimental Analysis and Full Prediction Model of a 5-DOF Motorized Spindle |
title_sort | experimental analysis and full prediction model of a 5 dof motorized spindle |
topic | magnetic bearing modeling suspension force experimental analysis prediction model |
url | http://www.mdpi.com/1996-1073/10/1/75 |
work_keys_str_mv | AT weiyuzhang experimentalanalysisandfullpredictionmodelofa5dofmotorizedspindle AT huangqiuzhu experimentalanalysisandfullpredictionmodelofa5dofmotorizedspindle AT hengkunyang experimentalanalysisandfullpredictionmodelofa5dofmotorizedspindle AT taochen experimentalanalysisandfullpredictionmodelofa5dofmotorizedspindle |