强干扰条件下超磁致伸缩致动器的模糊滑模动态控制

杨朝舒; 何忠波; 李冬伟; 薛光明

doi:10.13433/j.cnki.1003-8728.2015.0718

强干扰条件下超磁致伸缩致动器的模糊滑模动态控制

doi: 10.13433/j.cnki.1003-8728.2015.0718

1.
军械工程学院车辆与电气工程系, 石家庄 050003

基金项目:

国家自然科学基金项目（51275525）资助

详细信息

作者简介:
杨朝舒（1989-），硕士研究生，研究方向为超磁致缩材料的特性及应用，yangzhaoshu@sina.cn

通讯作者:
何忠波，教授，博士，yangzhaoshu01@gmail.com

计量
- 文章访问数: 171
- HTML全文浏览量: 40
- PDF下载量: 11
- 被引次数: 0
出版历程
- 收稿日期: 2013-10-29
- 刊出日期: 2015-07-05

Fuzzy Sliding Mode Control of Giant Magneto-restrictive Actuator under Strong Perturbation

1.
Department of Vehicles and Electrical Engineering, Shijiazhuang Mechanical Engineering College, Shijiazhuang 050003, China

摘要

摘要: 针对强干扰条件下，超磁致伸缩致动器位移动态控制存在的不足，建立了强干扰下超磁致伸缩致动器动态线性化模型，设计了基于模糊切换增益调节的滑模控制器，实现了致动器的动态跟踪控制。提出的模糊滑模控制器能有效实现了致动器的动态控制，位移跟踪误差在5%以内，取得了良好的控制效果。
- 超磁致伸缩致动器 /
- 强干扰 /
- 滑模变结构控制 /
- 模糊控制
Abstract: To exercise the dynamic positioning control of Giant Magneto-restrictive Actuator (GMA) for high precision, it is very crucial to compensate for the impact of strong perturbation derived from structurally inherent uncertainties and outside circumstances. In this paper, a model that considers the perturbation of GMA is established. A sliding mode controller with self-tuning shift gains based on fuzzy control is designed to realize the position tracking of GMA for high precision. The effectiveness of the GMA is verified, its tracking error being below 5%.
- controllers /
- design of experiments /
- design /
- differential equations

HTML全文

参考文献(10)

[1]	胡世峰,朱石坚,楼京俊,等.基于CMAC小脑神经网络的超磁致伸缩作动器高精度控制的仿真研究[J].振动与冲击,2009,28(3):68-72 Hu S F, Zhu S J, Lou J J, et al. High-precision control of giant magnetostrictive actuator based on cmac neural network [J]. Journal of Vibration and Shock, 2009,28(3):68-72 (in Chinese)
[2]	陈定方,舒亮,卢全国,等.超磁致伸缩致动器建模与控制仿真[J].机械工程学报,2007,43(8):12-16 Chen D F, Shu L, Lu Q G, et al. Modeling and control simulation of giant magnetostrictive actuator[J]. Chinese Journal of Mechanical Engineering, 2007,43(8):12-16 (in Chinese)
[3]	曹淑英.超磁致伸缩致动器的磁滞非线性动态模型与控制技术[D].天津:河北工业大学,2008 Cao S Y. Dynamic model with hysteresis nonlinearity and control technique for giant magnetostrictive actuator[D]. Tianjin: Hebei University of Technology, 2008 (in Chinese)
[4]	唐志峰,吕福在,项占琴.超磁致伸缩微位移驱动器的非线性迟滞建模及控制方法[J].机械工程学报,2007,43(6):55-61 Tang Z F, Lü F Z, Xiang Z Q. nonlinear hysteresis model and control of magetostrictive micropositioner[J]. Chinese Journal of Mechanical Engineering, 2007,43(6):55-61 (in Chinese)
[5]	Sun Y, Wang B W, Huang W M, et al. Hysteresis compensation control algorithm for the giant magnetostrictive actuators[C]// Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation, Luoyang, 2006:2139-2143
[6]	刘金琨.先进PID控制及其MATLAB仿真[M].北京:电子工业出版社,2003 Liu J K. Advanced PID control and MATLAB simula- tion[M]. Beijing: Electronic Industry Press, 2003 (in Chinese)
[7]	刘金琨.滑模变结构控制MATLAB仿真[M]. 2版.北京:清华大学出版社, 2012 Liu J K. MATLAB simulation of synovial variable structure control[M]. 2 Editor. Beijing: Tsinghua University Press, 2012 (in Chinese)
[8]	吕福在.用于柴油机电喷系统的GMM高速强力电磁阀和电控系统的研究[D].杭州:浙江大学,2000 Lü F Z. Research on the high-speed powerful solenoid based on giant magnetostrictive material and its control system[D]. Hangzhou: Zhejiang University, 2000 (in Chinese)
[9]	王湘江,王兴松,毛燕.基于普艾模型的迟滞系统自适应滑模控制[J].机械工程学报,2008,44(4):171-178 Wang X J, Wang X S, Mao Y. Adaptive sliding model control for hysteresis system based on prandtl-ishlinskii model[J]. Chinese Journal of Mechanical Engineering, 2008,44(4):171-178 (in Chinese)
[10]	PicoScope 2000 Series Programmer's Guide [M]. Pico Technology Ltd, 2006