An Inversion-free Model Predictive Control with Error Compensation for Piezoelectric Actuators
文献类型：会议论文
| 作者 | Liu WC(刘伟川) ; Cheng L(程龙); Hou ZG(侯增广); Tan M(谭民); long cheng
|
| 出版日期 | 2015 |
| 会议名称 | 2015 American Control Conference |
| 会议日期 | July 1-3, 2015 |
| 会议地点 | Chicago, IL, USA |
| 关键词 | hysteresis, neural network modeling, dynamic linearization, model predictive control, piezoelectric actuators |
| 通讯作者 | long cheng |
| 英文摘要 |
This paper addresses an inversion-free model
predictive control with error compensation for piezoelectric
actuators (PEAs), which is based on a dynamic linearized
multi-layer feedforward neural network model. By the proposed
method, the inverse model of the inherent hysteresis in PEAs
is not required, and the control law can be obtained in an
explicit form. By using the technique of constrained quadratic
programming, the proposed method still works well when
dealing with the plant physical constraints. Moreover, an
error compensation term is introduced into the control law to
attenuate the steady-state error. To verify the effectiveness of the
proposed method, experiments are conducted on a commercial
PEA. The experiment results show that the proposed method
has a good tracking performance for PEAs. |
| 会议录 | 2015 American Control Conference
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/11666]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 通讯作者 | long cheng |
| 推荐引用方式 GB/T 7714 | Liu WC,Cheng L,Hou ZG,et al. An Inversion-free Model Predictive Control with Error Compensation for Piezoelectric Actuators[C]. 见:2015 American Control Conference. Chicago, IL, USA. July 1-3, 2015. |
入库方式： OAI收割
来源：自动化研究所
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