磁悬浮隔振器的建模与控制
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
舰船的减振问题很久以前就引起了人们的重视。被动隔振是舰船上常用的减振方法,但其低频隔振效果不甚理想,而主动隔振能够克服被动隔振的这一缺陷,近年来得到越来越多的研究。
     本文以自行设计的磁悬浮隔振器为基础进行了主动隔振的实验研究。目标是在不降低磁悬浮隔振器高频减振效果的基础上,提高其低频减振效果。
     力传递率、插入损失和振级落差是三种常用的被动隔振评价方法,针对设计的磁悬浮隔振器,在给出了三种评价方法的表达式的基础上,对其被动隔振特性进行了仿真和实验研究。结果验证了磁悬浮隔振器低频隔振效果不理想的结论,需要在磁悬浮隔振系统中引入振动主动控制。
     设计的磁悬浮隔振器的电磁作动器是非线性的,它利用上下两块电磁铁吸引衔铁产生电磁力,通过控制通入电磁铁的电流控制磁场的强弱,进而控制电磁力的大小。利用MTS809电液伺服系统测量该电磁作动器通入不同电流时在不同气隙下输出电磁力的大小,采用最小二乘法得到了电磁作动器通入电磁铁线圈的电流与电磁力在不同气隙下的函数关系。在比较了线性功率放大器和PWM功率放大器之后,选择PWM功率放大器作为控制信号的功率放大环节。
     在将电磁作动器之外的环节视为线性环节的基础上,应用线性控制器设计方法,得到需要的控制量——电磁力后,求解上述函数关系得到真正的控制量——电磁铁线圈电流。最优控制实验效果表明了这种处理方法是可行的。另外为了实现振动主动控制实验利用VC++程序设计语言编写了软件程序。
     给出了两种提取参考信号的方法,分别进行了实验研究并分析了各自存在的缺陷。在对基础加速度信号进行滤波的基础上,采用滤波x最小均方(滤波x-LMS)算法进行了磁悬浮隔振器振动主动控制实验研究。实验结果表明,7.0-15.0Hz频段内,在被动隔振的基础上主动隔振取得了8dB以上的减振效果,达到了磁悬浮隔振器设计的指标要求。
Issue of the ship’s vibration reduction has attracted people’s attention for a long time. Passive vibration isolation technique has been traditionally used to reduce the ship’s vibration. But its isolation performance in low frequency is not good enough. Active vibration isolation can overcome the inherent defect of passive vibration isolation in low frequency band, and has been deeply researched recently.
     This paper is dedicated to experiment study of self-designed Electromagnetic Suspension Vibration Isolator (ESVI)’s active control. It aims at improving the ESVI’s vibration reduction performance in low frequency and not reducing it performance in high frequency.
     Force Transmissibility, Insertion Loss and Vibration Level Difference are three most popular methods to evaluate passive vibration isolation. For this ESVI, after giving the expressions of the three methods, its passive vibration isolation characteristic is studied by simulation and experiment. Result shows that it is true the passive vibration isolation performance of the ESVI in low-frequency is not good and active vibration isolation is needed.
     The designed ESVI’s electromagnetic actuator which through upper and lower electromagnets attracting armature induces electromagnetic force is nonlinear. By controlling current in electromagnet coil strength of magnetic field can be controlled and then magnetic force can be controlled. MTS809 electro-fluid servo system is used to measure force the electromagnetic actuator induces, when it is passed different current under different gap, and then least squares method is used to get the functional relationship between them. After comparing Linear Power Amplifier with PWM Power Amplifier, PWM Power Amplifier is selected as control signal’s power amplifier part. After considering that the other parts of the ESVI is linear, linear controller designing method can be used to get control variable which the electromagnetic actuator needs induce, and then through solving the functional relationship, the real control variable– current in the electromagnet coil can be got. Experimental result of optimal control shows that this controller design method is viable. Besides, software for active vibration isolation experiment has been programmed using VC++ programming language.
     Two ways to deal with the problem of reference signal extraction is given. And experiment study has been given for each of them, and their defects are also analyzed independently. After filtering the base’s acceleration signal, Filtered-x Least Mean Square (Filtered-x LMS) algorithm is used in the ESVI’s active vibration control. Experiment result shows that the active vibration isolation efficiency upon passive vibration isolation is more than 8dB, which meets the technical requirements of the ESVI.
引文
陈斌. 2008.浮筏隔振系统建模及振动主动控制研究[D].硕士学位论文,合肥:中国科学技术大学.
    陈光. 2003.挠性梁的实验建模及其振动主动控制[D].硕士学位论文,合肥:中国科学技术大学.
    陈光. 2006.密集模态挠性结构的多变量实验辨识及自适应逆控制[D].博士学位论文,合肥:中国科学技术大学.
    陈克安. 2003.有源噪声控制[M].北京:国防工业出版社.
    董卓敏, 2003.柔性结构的实验建模与主动控制[D].博士学位论文,合肥:中国科学技术大学.
    葛研军,王磊,蒋成勇. 2007.基于BP的PID算法在磁轴承控制系统中研究[J].微计算机信息, 23(8-1): 41 - 42.
    胡甫才,蔡勇,钟庆敏,杨建国. 2007.柴油发电机组双层隔振的分析与试验研究[J].噪声与振动控制, 27(4): 10 - 13.
    黄群,文立华,李双. 2006.基于压电堆式作动器的主动隔振研究及其仿真分析[J].西安工业大学学报, 126(14): 361 - 364.
    赖胜. 2005.具有模型不确定性柔性结构的鲁棒振动主动控制. [D].博士学位论文,合肥:中国科学技术大学.
    李嘉全. 2008.浮筏系统的振动主动控制技术[D].博士学位论文,合肥:中国科学技术大学.
    刘恒坤,常文森,佘龙华. 2005.磁悬浮系统的非线性控制[J].控制理论与应用, 24(11): 1 - 2.
    刘淑琴. 2005.磁悬浮轴承技术在电主轴中的应用[J].金属加工, (8): 21 - 22.
    龙之强,洪华杰,周晓兵. 2003.磁悬浮列车的非线性控制问题研究[J].控制理论与应用20(3): 399 - 402.
    龙志强,郝阿明,陈革,常文森. 2003.磁悬浮控制的主动式隔振平台研究[J].宇航学报, 24(5): 510 - 514.
    鲁力. 2007.基于动磁式主动吸振器的振动主动控制[D].硕士学位论文,合肥:中国科学技术大学.
    马宝山,刘志刚,孙建民,赵振宇. 2003.自适应LMS算法在汽车悬架振动主动控制中的仿真研究[J].噪声与振动控制, 24(3): 3 - 6.
    马运领. 2004.桁架结构的建模与振动主动控制[D].硕士学位论文,合肥:中国科学技术大学.
    马志刚. 2005.桁架结构振动主动控制[D].硕士学位论文,合肥:中国科学技术大学.
    马忠宝,孙荣斌. 2007.磁悬浮列车电磁悬浮系统的自适应模糊滑模控制[J].机车电传动, (1): 29 - 32.
    彭程. 2007.柔性梁的降阶控制器设计与实验研究[D].博士学位论文,合肥:中国科学技术大学.
    史文库,孙国春,田彦涛. 2004.汽车发动机主动隔振系统最优控制[J].车辆与动力技术, 94(2): 1 - 4.
    孙勇,李万莉,潘存治. 2007.基于工程车辆减振系统的单向电磁作动器结构及控制律设计[J].中国机械工程, 18(9): 1131 - 1133.
    王颖. 2002.挠性结构振动抑制的建模与控制研究[D].硕士学位论文,合肥:中国科学技术大学.
    肖斌,刘学广,刘志刚,杨铁军,高忠峰. 2007.柴油机隔振系统液压作动器线性化控制试验研究[J].中国机械工程, 18(24): 2933 - 2938.
    肖斌,杨铁军,刘志刚. 2006.柴油机主动隔振液压执行器线性化控制仿真研究[J].哈尔滨工程大学学报, 27(2): 212 - 217.
    詹训慧. 2007.分布式压电智能结构的建模与振动控制[D].博士学位论文,合肥:中国科学技术大学.
    张国庆. 2008.柔性多体系统建模与控制[D].博士学位论文,合肥:中国科学技术大学.
    赵成,陈大跃. 2008.潜艇浮筏隔振系统的控制研究[J].中国机械工程, 19(3): 253 - 257.
    赵利颇,潘存治,马强. 2006.基于电磁作动器的主动隔振系统研究[J].石家庄铁道学院学报, 19(2): 51 - 53.
    赵冉. 2008.磁悬浮主动隔振器的建模研究[D].硕士学位论文,合肥:中国科学技术大学.
    周烽. 2002.斯特林制冷机振动主动控制[D].硕士学位论文,合肥:中国科学技术大学.
    Fleming A J, Moheimani S O R. 2006. Inertial Vibration Control Using a Shunted Electromagnetic Transducer [J]. IEEE/ASME Transactions on Mechatronics, 11(1): 84 - 92.
    Barr A J, Ray J I. 1996. Control of an Active Suspension Using Fuzzy Logic [C]. Proceedings of IEEE International Conference on Fuzzy Systems, Vol.1: 42–48.
    Daley S, H?t?nen J, Owens D H. 2006. Active Vibration Isolation in a "Smart Spring" Mount Using a Repetitive Control Approach [J].Control Engineering Practice, 14(9): 991 - 997.
    Daley S, Johnson F A, Pearson J B, Dixon R. 2004. Active Vibration Control for Marine Applications [J]. Control Engineering Practice, 12(4): 465 - 474.
    Das D P, Anda G P, Kuo S M. 2007. New Block Filtered-x LMS Algorithms for Active Noise Control Systems [J]. Signal Processing, IET, 1(2): 73 - 81.
    De Abreu G C M, Teixeira R L, Ribeiro J F. 2000. A Neural Network-based Direct Inverse Controlfor Active Control of Vibrations of Mechanical Systems [C]. Proceedings of Sixth Brazilian Symposium: 107–112.
    Douglas S C. 1997. An Efficient Implementation of the Modified Filtered-x LMS Algorithm [J]. IEEE Signal Processing Letters, 4(10): 286 - 288.
    Eriksson L J, Allie M C, Greiner R A. 1987. The Selection and Application of an HR Adaptive Filter for Use in Active Sound Attenuation [C]. Processing of IEEE Transactions on Acoustics, Speech and Signal: 433 - 437.
    Giua A, Seatzu C, Usai G. 2000. Active Axletree Suspension for Road Vehicles with Gain-Switching [C]. Proceedings of IEEE Conference on Decision and Control, Vol.1: 438–443.
    Gong Y, Song Y, Liu S J. 2003. Performance Analysis of the Unconstrained FXLMS Algorithm for Active Noise Control [C]. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol.5: V- 569 - 72
    Gontijo W A, Tobias O J, Seara R, Lopes E M O. 2006. FxLMS Algorithm with Variable Step Size and Variable Leakage Factor for Active Vibration Control [J]. International Telecommunications Symposium: 572 - 575.
    Hwang K H, Cho Y H. 2004. Design and Dynamic Characteristics Analysis of Moving Magnet Linear Actuator for Human [C]. Proceedings of the IEEE International Conference on Mechatronics: 251–254.
    Kang M S, Yoon W H. 2006. Acceleration Feed-forward Control in Active Magnetic Bearing System Subject to Base Motion by Filtered-x LMS Algorithm [J].IEEE Transactions on Control Systems Technology, 14(1): 134 - 140.
    Hinamoto Y, Sakai H. 2007. A Filtered-x LMS Algorithm for Sinusoidal Reference Signals Effects of Frequency Mismatch [J].IEEE Signal Processing Letters, 14(4): 259 - 262.
    Kajikawa Y, Yabuki J, Nomura Y. 2000. Stable Condition Considering Modeling Error in the Filtered-x LMS Algorithm [C]. Proceedings of IEEE International Symposium on Circuits and Systems, Vol.3: 642 - 645.
    Kim J M, Kim C K, Park M K, Kim K H. 2001. A Robust Control of a Magnetic Suspension System with a Flexible Rail [C]. Proceedings of IEEE International Symposium on Industrial Electronics, Vol.2: 1309–1312.
    Kim S M, Pietrzko S, Brennan M J. 2008. Active Vibration Isolation Using an Electrical Damper or an Electrical Dynamic Absorber [J]. IEEE Transactions on Control Systems Technology, 16(2): 245 - 254.
    Kim S M, Elliott S J, Brennan M J. 2001. Decentralized Control for Multichannel Active VibrationIsolation [J].IEEE Transactions on Control Systems Technology, 9(1): 93 - 100.
    Lacy S L, Bernstein D S. 2002. Identification of an Electromagnetic Actuator [C]. Proceedings of IEEE Conference on Decision and Control, Vol.4: 4521–4526.
    Li G P, Zhang C L. 2005. Active Vibration Control of a Isolation Platform Based on State Space LQG [C]. IEEE International Conference on Robotics and Biomimetics: 427 - 431.
    Lin C E, Chen C L, Ker C C. 2005. An One Dimensional Hybrid Magnetic Vibration Actuator Design and Implementation [C]. Conference of IEEE Industrial Electronics Society: 2059 - 2064.
    Lin C E, Ker C C, Chen C L, Xu Lixin. 2008. Hybrid Magnetic Suspension Actuator for Motion Control Apparatus[C]. IEEE International Conference on Industrial Technology: 1 - 8.
    Lin C H, Hung S K, Chen M Y, Li S T, Fu L C. 2008. A Novel High Precision Electromagnetic Flexure-Suspended Positioning Stage with an Eddy Current Damper [C]. International Conference on Control, Automation and Systems: 771 - 776.
    Liu Z G. 2006.A Protocol Analysis Method of Acceleration Sensor in Maglev Train [C]. Proceedings of IEEE International Conference on Networking, Sensing and Control: 342 - 345.
    Nagaya K, Ishikawa M. 1995. A Noncontact Permanent Magnet Levitation Table with Electromagnetic Control and Its Vibration Isolation Method Using Direct Disturbance Cancellation Combining Optimal Regulators [J]. IEEE Transactions on Magnetics, 31(1): 885 - 896.
    Rijanto E, Okamoto M, Wu K, Tagawa Y. 2000. A Floor Vibration Attenuation Device Using Robust H∞Controller[C].Proceedings of International Workshop on Advanced Motion Control :363–366.
    Shaw J. 1999. Active Vibration Isolation by Adaptive Control [C]. Proceedings of the 1999 IEEE International Conference on Control Applications, Vol.2:1509 - 1514.
    Shi J, Zmood R, Qin L J. 2002. The Direct Method for Adaptive Feed-Forward Vibration Control of Magnetic Bearing Systems [C]. International Conference on Control, Automation, Robotics and Vision, Vol.2: 675 - 680.
    Sinha P K, Pechev A N. 2004. Nonlinear Controllers for Electromagnetic Suspension Systems [J]. IEEE Transactions on Automation Control, 49(4): 563 - 568.
    Snyder S D, Hansen C H. 1994. The Effect of Transfer Function Estimation Errors on the Filtered-x LMS Algorithm [J]. IEEE Transactions on Signal Processing, 42(4):950 - 953.
    Vicen-Bueno R, Martinez-Leira A, Gil-Pita R, Rosa-Zurera M. 2007. Acoustic Feedback Reduction Based on Filtered-x LMS and Normalized Filtered-x LMS Algorithms in DigitalHearing Aids Based on WOLA filterbank [J].IEEE International Symposium on Intelligent Signal Processing: 1 - 6.
    Watanabe K, Hara S, Kanemitsu Y, Haga T, Yano K, Mizuno T, Katamura R. 1996. Combination of H∞and PI Control for an Electromagnetically Levitated Vibration Isolation System [C]. Proceedings of the 35th Conference on Decision and Control, Vol.2:1223–1228.
    Xiao Y G, Ikuta A, Ma L Y, Khorasani K. 2008. Stochastic Analysis of the FxLMS Based Narrowband Active Noise Control System [J].IEEE Transactions on Audio, Speech, and Language Processing, 16(5): 1000 - 1014.
    Xiao Y G, Ma L Y, Khorasani K, Ikuta A. 2007. Performance Analysis of the FxLMS Based Narrowband Active Noise Control System with Online Secondary Path Modeling [C]. Processing of IEEE International Conference on Acoustics, Speech and Signal, Vol.1: I-105 - I-108.
    Xiao Y G, Ma L Y, Khorasani K, Ikuta A. 2006. A New Robust Narrowband Active Noise Control System in the Presence of Frequency Mismatch [J]. IEEE Transactions on Audio, Speech and Language Processing, 14(6): 2189 - 2200.
    Yeh T J, Chung Y J , Wu W C. 2001. Sliding Control of Magnetic Bearing Systems [J]. Journal of Dynamic Systems, Measurement and Control, 2001(123): 353 - 356.
    Yoda M, Shiota Y. 1994. A Electromagnetic Actuator for a Robot Working with a Man [J]. IEEE International Workshop on Robot and Human Cmmunlcatlon: 373–377.
    Zhao C, Chen L S, Chen D Y. 2006. Semi-Active Static Output Feedback Variable Structure Control for Two-Stage Vibration Isolation System [J]. Journal of Vibration and Acoustics, Vol.128: 627 - 634.
    Zhou D Y, DeBrunner L, Wang Y H. 2005. Geometric Analysis of Filtered-x LMS Algorithms [C]. IEEE/SP 13th Workshop on Statistical Signal Processing: 127 - 132.
    Zhou D Y, DeBrunner V. 2007. A New Active Noise Control Algorithm That Requires No Secondary Path Identification Based on the SPR Property [J]. IEEE Transactions on Signal Processing, 55(5): 1719 - 1729.
    Zhou J, Wen C Y. 2007. Adaptive Inverse Control of a Magnetic Suspension System with Input Backlash [C]. IEEE International Conference on Control Applications: 1347 - 1352.
    Zuo L, Slotine J J E. A Samir Nayfeh. 2004. Experimental Study of a Novel Adaptive Controller for Active Vibration Isolation [C]. Proceeding of American Control Conference: 3863 - 3868.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700