基于动态模糊系统模型的压电陶瓷驱动器控制

李朋志; 葛川; 苏志德; 闫丰; 隋永新; 杨怀江

doi:10.3788/OPE.20132102.0394

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基于动态模糊系统模型的压电陶瓷驱动器控制

微纳技术与精密机械 | 更新时间：2020-08-12

- 基于动态模糊系统模型的压电陶瓷驱动器控制
- Control of piezoelectric ceramic actuator via dynamic fuzzy system model
- 光学精密工程 2013年21卷第2期页码：394-399
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所应用光学国家重点实验室2. 中国科学院大学
- 作者简介：
- 基金信息：
  
  02重大专项资助项目()
- DOI：10.3788/OPE.20132102.0394
  中图分类号： TP273.1;TN384
- 收稿日期：2011-12-31，
  
  修回日期：2012-02-24，
  
  网络出版日期：2013-02-23，
  
  纸质出版日期：2013-02-15
- 稿件说明：
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李朋志葛川苏志德闫丰隋永新杨怀江. 基于动态模糊系统模型的压电陶瓷驱动器控制[J]. 光学精密工程, 2013,21(2): 394-399

LI Peng-zhi GE Chuan SUN Zhi-de YAN Feng SUI Yong-xi YANG Huai-jiang. Control of piezoelectric ceramic actuator via dynamic fuzzy system model[J]. Editorial Office of Optics and Precision Engineering, 2013,21(2): 394-399
李朋志葛川苏志德闫丰隋永新杨怀江. 基于动态模糊系统模型的压电陶瓷驱动器控制[J]. 光学精密工程, 2013,21(2): 394-399 DOI： 10.3788/OPE.20132102.0394.

LI Peng-zhi GE Chuan SUN Zhi-de YAN Feng SUI Yong-xi YANG Huai-jiang. Control of piezoelectric ceramic actuator via dynamic fuzzy system model[J]. Editorial Office of Optics and Precision Engineering, 2013,21(2): 394-399 DOI： 10.3788/OPE.20132102.0394.

摘要

针对压电陶瓷驱动器(PZT)的迟滞非线性对周期性超精密跟踪精度的影响，对基于Takagi-Sugeno(T-S)型模糊规则的动态模糊系统( DFS)前馈+PI控制方法进行了研究。介绍了DFS模型前提部分和结论部分的辨识方法; 结合直接逆模型控制和迭代学习控制的思想，提出了周期性轨迹跟踪的DFS前馈+PI控制方法。最后，针对20 Hz的三角波和正弦波期望轨迹进行了跟踪控制实验。实验结果表明：提出的控制方法对三角波和正弦波期望轨迹的最大跟踪误差分别为0.25%和0.27%，相对于PI控制，跟踪精度分别提高了52倍和64倍

而最大跟踪绝对误差分别降低到5.1 nm和5.5 nm。结果显示这种控制方法易于实现，周期性轨迹跟踪精度高。

Abstract

As the nonlinear hysteresis characteristic of a Piezoelectric Ceramic Actuator(PZT) has a big impact on periodic ultra-precise tracking accuracy

this paper investigates a methodology which combines the Dynamic Fuzzy System(DFS) feed-forward based on Takagi-Sugeno(T-S) fuzzy rule with the PI control. The identification methods of DFS antecedent and consequent structures are introduced. Then

DFS feed-forward with PI control strategy of periodic trajectory tracking is proposed according to theories of direct inverse model control and iterative learning control. Finally

the tracking control experiment is performed on a 20Hz triangular trajectory and a sinusoidal desired trajectory. Experimental results indicate that the proposed control method can achieve 0.25% and 0.27% maximum tracking errors for triangular and sinusoidal trajectories

which are 52 and 64 times as accurate as that of PI control. Moreover

the maximum absolute tracking errors have been reduced to 5.1 nm and 5.5 nm

respectively. It concludes that the methodology can be easily implemented and has high periodic trajectory tracking accuracy.

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Keywords

references

贾宏光，郑岩，吴一辉，等.非线性模型的压电元件复合控制方法[J].光学精密工程,2007，15(10): 1547-1552.JIA H G, ZHENG Y, WU Y H, et al.. PZT actuator control complex arithmetic based on nonlinear model [J]. Opt. Precision Eng., 2007, 15(10): 1547-1552. (in Chinese)[2]孙立宁, 孙绍云, 曲东升, 等. 基于PZT的微驱动定位系统及控制方法的研究[J].光学精密工程,2004，12(1): 55-59.SUN L N, SUN SH Y, QU D SH, et al.. Micro-drive positioning system based on PZT and its control [J]. Opt. Precision Eng., 2004, 12(1):55-59. (in Chinese)[3]赖志林, 刘向东, 耿洁, 等. 压电陶瓷执行器迟滞的滑模逆补偿控制[J].光学精密工程,2011，19(6): 1281-1290.LAI ZH L, LIU X D, GENG J, et al.. Sliding mode control of hysteresis of piezoceramic actuator based on inverse Preisach compensation [J]. Opt. Precision Eng., 2011, 19(6): 1281-1290. (in Chinese)[4]ZHANG X L, TAN Y H, SU M Y.Modeling of hysteresis in piezoelectric actuators using neural networks [J]. Mechanical Systems and Signal Processing, 2009, 23: 2699-2711.[5]ZHANG X L, TAN Y H, SU M Y, et al..Neural networks based identification and compensation of rate-dependent hysteresis in piezoelectric actuators [J]. Physica B, 2010, 405:2687-2693.[6]YONG Y K, APHALE S, MOHEIMANI S O R. Design, identification, and control of a flexure-based XY stage for fast nanoscale positioning [J]. IEEE Transactions on Nanotechnology, 2009, 8(1): 46-54.[7]LI Y M, XU Q S. Development and assessment of a novel decoupled XY parallel micropositioning platform [J]. IEEE/ASME Transactions on Mechatronics, 2010, 15(1):125-135.[8]SUGENO M, YASUKAWA T. A fuzzy-logic-based approach to qualitative modeling [J]. IEEE Transactions on Fuzzy Systems, 1993, 1(1): 7-31.[9]WANG L X, MENDEL J M. Generating fuzzy rules from numerical data with applications [J]. IEEE Transactions on System, Man and Cybernetics, 1992,22(6):1414-1427.[10]GEORGE T, HARALAMBOS S, GEORGE B. A simple algorithm for training fuzzy systems using input-output data [J]. Advances in Engineering Software, 2003, 34: 247-259.[11]LI P Z, GU G Y, LAI L J, et al.. Hysteresis modeling of piezoelectric actuators using the fuzzy system [C]. The 3rd International Conference on Intelligent Robotics and Applications, ICIRA 2010, LNAI, 2010, 6424(1): 372-382.

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