压电式气体流量比例阀建模与控制技术研究

李传江; 邓徽; 顾亚; 朱燕飞; 王明月

doi:doi:10.11977/j.issn.1004-2474.2022.04.029

压电与声光, 2022, 44 (4): 662, 网络出版: 2022-10-29

压电式气体流量比例阀建模与控制技术研究

Research on Modeling and Control Technology of Piezoelectric Gas Flow Proportional Valve

论文大纲

李传江邓徽顾亚朱燕飞王明月

作者单位

上海师范大学信息与机电工程学院,上海 201418

压电式气体比例阀迟滞非线性 PI模型前馈补偿器 piezoelectric gas proportional valve hysteresis nonlinear PI model feedforward compensator

摘要

针对传统Prandtl-Ishlinskii(PI)模型不能反映压电式气体比例阀迟滞非对称特性而导致其补偿控制精度难以提高的问题, 提出了一种改进的PI模型, 通过添加3次多项式使其能拟合压电式气体流量比例控制阀的非对称迟滞曲线。利用改进的自适应粒子群遗传算法辨识所需的模型参数, 模型相对误差为0.007 3%, 并将模型用于前馈补偿控制。实验结果表明, 基于迟滞模型的前馈补偿控制可显著提高压电式气体比例阀输出流量控制的快速性, 调节时间降低了60%。

Abstract

Aiming at the problem that the traditional Prandtl-Ishlinskii (PI) model cannot reflect the asymmetric hysteresis characteristics of the piezoelectric gas proportional valve, which makes it difficult to improve the compensation control accuracy, an improved PI model is proposed, which can fit the asymmetric hysteresis curve of the piezoelectric gas flow proportional control valve by adding a third-order polynomial. The improved adaptive particle swarm genetic algorithm is used to identify the required model parameters, and the relative error of the model is 0.007 3%. The model is used for the feedforward compensation control. The experimental results show that the feedforward compensation control based on the hysteresis model can significantly improve the rapidity of the output flow control of the piezoelectric gas proportional valve, and the adjustment time is reduced by 60%.

参考文献

[1] ZENG W,LI S J,FU H.Precise control of the pressure-driven flows considering the pressure fluctuationsinduced by the process of droplet formation［J］.Microfluid Nanofluid,2018,22(11): 133-140.

[2] MOSTAD D,KLEPSTAD P,FOLLESTAD T,et al.Desflurane consumption with automated vapour control systems in two different anaesthesia machines:A randomized controlled study［J］.Acta Anaesthesiol Scand,2021,65(7):895-901.

[3] LEE J,HAN S,CHO S,et al.Development and erformance analysis of gas generator with plunger-type flow control value for ducted rocket:Part Ⅰ［J］.Journal of Aerospace System Engineering,2021,15(3):79-86.

[4] 王昱棠,张宇鹏,徐钰蕾.压电陶瓷驱动快速反射镜双闭环控制［J］.仪器仪表学报,2014,35(增1):68-72.

[5] 王栋,于鹏,周磊,等.基于梯形算子的AFM驱动器非对称迟滞性校正［J］.仪器仪表学报,2015,36(1):32-39.

[6] 严秀权,吴洪涛,李耀,等.压电作动器的支持向量机迟滞模型［J］.仪器仪表学报,2018,39(9):228-235.

[7] XU R,TIAN D P,WANG Z S.Adaptive trcaking control for the piezoelectric actuated stage using the krasnose’skii-pokrovskii operator［J］.Micromachines,2020,11(5):537-549.

[8] AHMED K,YAN P,LI S.Duhem model-based hysteresis identification in piezo-actuated nano-stage using modified particle swarm optimization［J］.Micromachines,2021,12(3):315.

[9] LINF J,SHIEH H J,HUANG P K,et al.Adaptive control with hysteresis estimation and compensation using RFNN for piezo-actuator ［J］.IEEE Transactions on Ultrasonics,Ferroelectrics,and Frequency Control,2006,53(9):1649 -1661.

[10] 田雷,陈俊杰,崔玉国,等.基于PI迟滞模型的单压电变形镜开环控制［J］.仪器仪表学报,2017,38(1) :136-142.

[11] 王代华,严松林,朱炜.基于Bouc-Wen模型的压电执行器的前馈线性化控制器［J］.仪器仪表学报,2015,36(7):1514-1521.

[12] 曹晶晶.压电驱动精密气体流量阀建模与控制研究［D］.上海:上海师范大学,2021.

[13] 陈高华,闫献国,郭宏,等.压电陶瓷振动传感器的迟滞非线性误差补偿研究［J］.振动与冲击,2018,37(23):278-285.

[14] 张东岳,王伟国,张振东,等.压电偏摆台的复合控制［J］.压电与声光,2017,39(1):40-43.

[15] AZIZ N A A,IBRAHIM A,MUBIN M,et al.Improving particle swarm optimization via adaptive switching asynchronous-synchronous update ［J］.Applied Soft Computing,2018,72:298-311.

[16] 王跃灵,旺玥,王琪,等.基于自适应粒子群遗传算法的柔性关节机器人动力学参数辨识［J］.计量学报,2020,41(1):60-66.

[17] XING Yunbing, LONG Guangyu, HU Chunyu,et al. Human activity recognition method based on class increment SVM［J］. Computer Science,2022,49(5):78-83.

[18] 崔玉国,刘尔春,杨依领,等.基于改进PID的压电微定位平台反馈控制［J］.仪器仪表学报,2018,39(6) :215-223.

李传江, 邓徽, 顾亚, 朱燕飞, 王明月. 压电式气体流量比例阀建模与控制技术研究[J]. 压电与声光, 2022, 44(4): 662. LI Chuanjiang, DENG Hui, GU Ya, ZHU Yanfei, WANG Mingyue. Research on Modeling and Control Technology of Piezoelectric Gas Flow Proportional Valve[J]. Piezoelectrics & Acoustooptics, 2022, 44(4): 662.

压电式气体流量比例阀建模与控制技术研究

关于本站 Cookie 的使用提示

全站搜索

压电式气体流量比例阀建模与控制技术研究

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索