CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
An Inversion-free Fuzzy Predictive Control for Piezoelectric Actuators
Liu WC(刘伟川); Cheng L(程龙); Wang HM(王洪明); Hou ZG(侯增广); Tan M(谭民); long cheng
2015
Conference Name2015 27th Chinese Control and Decision Conference
Source Publication中国青岛
Conference Date2015-5-23至2015-5-25
Conference Place中国青岛
Abstract
Piezoelectric actuators (PEAs) are treated as the core component in the nano-posistioning applications. The
inherent hysteresis nonlinearity can dramatically degrade the tracking performance of PEAs. This paper presents an
inversion-free fuzzy predictive controller of the parallel distributed structure. A Takagi-Sugeno (T-S) based fuzzy model
of PEAs is developed first. With the aid of T-S based fuzzy model, explicit predictive control law can be obtained for
each fuzzy rule. Then these predictive control laws are combined by fuzzy inference to generate the overall predictive
controller. By the proposed method, the inverse hysteresis model of PEAs is no longer required. A notable feature of the
proposed method is that the predictive control law can be obtained before the real-time control of PEAs. Therefore, the
on-line computational burden is quite low, leading to a good tracking performance in the high frequency working conditions.
Experiments are conducted on a commercial PEA to verify the proposed method. Experiment results show that
the proposed method has a satisfactory tracking performance in both the low and high frequency conditions. Comparison
results illustrate that the proposed method outperforms some existing approaches such as the inversion-based method and
sliding mode control method.
KeywordPiezoelectric Actuators Hysteresis Fuzzy Modeling Model Predictive Control
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11668
Collection复杂系统管理与控制国家重点实验室_先进机器人
Corresponding Authorlong cheng
Recommended Citation
GB/T 7714
Liu WC,Cheng L,Wang HM,et al. An Inversion-free Fuzzy Predictive Control for Piezoelectric Actuators[C],2015.
Files in This Item: Download All
File Name/Size DocType Version Access License
CCDC.pdf(1256KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu WC(刘伟川)]'s Articles
[Cheng L(程龙)]'s Articles
[Wang HM(王洪明)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu WC(刘伟川)]'s Articles
[Cheng L(程龙)]'s Articles
[Wang HM(王洪明)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu WC(刘伟川)]'s Articles
[Cheng L(程龙)]'s Articles
[Wang HM(王洪明)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: CCDC.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.