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陶瓷开裂故障行波型超声波电动机建模与仿真分析

Modeling and Simulation Analysis of Traveling Wave Ultrasonic Motor With Ceramic Cracking Fault
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摘要 压电陶瓷开裂是影响超声波电动机使用寿命的关键因素。针对该故障类型,研究了一种模拟压电陶瓷开裂的行波型超声波电动机定子建模方法。建立无故障超声波电动机定子模型,经动力学分析后得到的定子质点运动轨迹验证了模型的合理性;改变裂纹长度以模拟陶瓷片的不同开裂程度,得到了孤极电压信号随裂纹尺寸的变化规律;对不同开裂程度故障电机的孤极电压进行了采样,分析结果表明仿真结果与实测数据具有较好的一致性。 Piezoelectric ceramic cracking is the key factor to determine the service life of ultrasonic motor.A method used to simulate ceramic cracking in the stator of traveling wave ultrasonic motor was studied.The rationality of stator modeling was verified by the particle movement tracks via dynamic analysis.The fault degree of ceramic was simulated by different crack length,then the variation of monitor electrode voltage with crack dimension was analyzed.The monitor electrode voltage data of fault motor with ceramic crack was collected.The analysis shows that the simulation results are in good agreement with the actual measurement.
作者 安国庆 杨少锐 安孟宇 刘庆瑞 闫彩红 李洪儒 AN Guo-qing;YANG Shao-rui;AN Meng-yu;LIU Qing-rui;YAN Cai-hong;LI Hong-ru(Army Engineering University,Shijiazhuang 050003,China;Hebei University of Science and Technology,Shijiazhuang 050018,China)
出处 《微特电机》 2018年第9期22-27,共6页 Small & Special Electrical Machines
基金 河北省自然科学基金项目(E2017208086) 河北省高等学校科学技术研究青年基金项目(QN2017329) 河北科技大学通用航空平台基金项目(201525)
关键词 超声波电动机 压电陶瓷开裂 定子建模 孤极电压 ultrasonic motor piezoelectric ceramics cracking stator modeling monitor electrode voltage
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  • 1陈超,赵淳生.旋转型行波超声电机中三维接触机理的研究[J].中国电机工程学报,2006,26(21):149-155. 被引量:31
  • 2Radi B, Hami A E. The study of the dynamic contact in ultrasonic motor[J]. Applied Mathematical Modeling, 2010, 34(12): 3767-3777.
  • 3Tomonobu S, Mitsuru N, Naomitsu U, et al. Mathematical model of ultrasonic motors for speed control[J]. Electric Power Components and Systems, 2008, 36(6): 637-648.
  • 4Mou S, Ouyang M. Establishing the dynamic transfer function of a shaft-driving type ultrasonic motor by system identification[C]//Proceedings of the Fifth World Congress on Intelligent Control and Automation. Hangzhou, China: ZhejiangUniversity, 2004: 302-305.
  • 5Chung S W, Chau K T. Speed control of traveling-wave ultrasonic motors using a practical modeling approach [J]. Electric Power Components and Systems, 2007, 35(4): 411-428.
  • 6Chen Tien-Chi, Yu Chih-Hsien. Generalized regression neural-network-based modeling approach fortraveling-wave ultrasonic motors[J]. Electric Power Components andSystems, 2009, 37(6): 645-657.
  • 7Faajeng L, Rongjong W, Chunming H. Identification and control of rotary traveling-wave type ultrasonic motor using neural networks[J]. IEEE Transactions on Control Systems Technology, 2001, 9(4): 672-680.
  • 8Mohammad J, Hamed M. Neural network based modeling of traveling wave ultrasonic motor using genetic algorithm [C]//Proceedings of the 2nd International Conference on Computer and Automation Engineering. Singapore: Singapore IEEE Computer Soctety, 2010: 486-490.
  • 9Faajeng L, Syuanyi Chen, Pohuan Chou, et al. Interval type-2 fuzzy neural network control for X-Y-Theta motion control stage using linear ultrasonic motors [J]. Neurocomputing, 2009, 72(4-6): 1138-1151.
  • 10Senjyu T, Kashiwagi T, Uezato K. Position control of ultrasonic motors using MRAC and dead-zone compensation with fuzzy inference[J]. IEEE Trans. on Power Electronics, 2002, 17(2): 265-272.

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