机电工程技术2024，Vol.53Issue(12)：149-153,5.DOI:10.3969/j.issn.1009-9492.2024.12.029
基于神经网络PID的压电执行器运动控制
Neural Network PID for Motion Control of a Piezoelectric Actuator
摘要
Abstract
At present,hysteresis effect is a normal phenomenon in piezoelectric actuators applied in actual engineering application.However,nonlinear problem caused by hysteresis effect brings difficulties to the precision control of the piezoelectric actuators.Correspondingly,the emergence of this kind of nonlinear problem brings huge challenges to the controller design,especially for high precise manipulation for micro-range control.In the process of solving the nonlinear problem,predecessors'various control methods do not reflect their efficiency and flexibility.This experiment proposes a novel Neural Network(NN)and PID combined control,which effectively compensates the nonlinear defects of hysteresis effect in the piezoelectric actuators.In solving the problem of PID parameters tuning,the neural network model plays a key role in optimizing the parameters in actual control.Through the effective combination of NN and PID,the piezoelectric actuators show a higher degree of intelligence and adaptability in the movement tracking process.Through simulation studies,the effectiveness of the NN-based PID control scheme is verified.Simulation studies show that the NN based PID combined control scheme can quickly,efficiently and accurately complete the quality of precision movement control of the piezoelecStric actuators.关键词
Neural Network,NN/PID/压电执行器/仿真/磁滞Key words
neural network,NN/PID/piezoelectric actuators/simulation/hysteresis effect分类
信息技术与安全科学引用本文复制引用
颜奕政,范立荣,肖心远,车志,张永栋,孙潇鹏,郑煜宏,任开礼..基于神经网络PID的压电执行器运动控制[J].机电工程技术,2024,53(12):149-153,5.基金项目
广东省普通高校重点领域专项(2021ZDZX3033) （2021ZDZX3033）
2024校级大学生科技课题(GDCP-ZX-2024-026-N2) （GDCP-ZX-2024-026-N2）
2024校级教科研项目(GDCP-ZX-2023-009-N1) （GDCP-ZX-2023-009-N1）
