Neural-network based model predictive control for piezoelectric-actuated stick-slip micro-positioning devices

	Neural-network based model predictive control for piezoelectric-actuated stick-slip micro-positioning devices
	Long Cheng; Chao Zhou; Zeng-Guang Hou; Min Tan
	2016
会议名称	IEEE International Conference on Advanced Intelligent Mechatronics (AIM)
会议日期	JUL 12-15, 2016
会议地点	Banff
会议举办国	Canada
摘要	The piezoelectric-actuated stick-slip micro positioning devices (PASSMDs) have been drawing considerable attention for micro-positioning applications due to their theoretically unlimited motion and good positioning precision. However, the inherent hysteresis of the piezoelectric actuators (PEAs) seriously deteriorates the positioning accuracy of the PASSMDs. In addition, due to the stick-slip actuated principle of PASSMDs, the control of PASSMDs is a challenging job in the literature. This paper proposes a neural network based model predictive control for PASSMDs, which includes the one step control phase and the sub-step control phase. By the proposed method, the hysteresis can be effectively dealt with, which can achieve a relatively accurate positioning performance of PASSMDs. Moreover, to verify the proposed method, a prototype of PASSMDs is developed and experiments are conducted. The experiment results show that the proposed method is an promising way to solve the positioning control of PASSMDs.
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/23134
专题	复杂系统认知与决策实验室_先进机器人
推荐引用方式 GB/T 7714	Long Cheng,Chao Zhou,Zeng-Guang Hou,et al. Neural-network based model predictive control for piezoelectric-actuated stick-slip micro-positioning devices[C],2016.