PID Closed Loop Control Performance Analysis of Piezostack-driven Jet Dispensing Valve

Authors

Yunbo Fu, 1. School of Communication Engineering, Jilin University, Changchun 130022, China;;
Xinbo Li, 1. School of Communication Engineering, Jilin University, Changchun 130022, China;;
Guojun Liu, 2. School of Mechanical Science and Engineering, Jilin University, Changchun 130022, China;
Jianfang Liu, 2. School of Mechanical Science and Engineering, Jilin University, Changchun 130022, China;
Yaowu Shi, 1. School of Communication Engineering, Jilin University, Changchun 130022, China;;

Abstract

Abstract: A new type of piezostack-driven jetting dispenser was proposed which used hydraulic magnification, and analyzed its injection process and injection condition. The open loop model of dispensing system was built by AMESim software. The simulation proved the feasibility. The closed loop control system with PID (Proportion Integration Differentiation) algorithm was set up to improve performance of open loop dispensing system, and the open and closed loop control performance was compared under the simulation environment. Analysis shows that PID closed loop system can improve performance of piezostack-driven jetting dispensing system. When nozzle diameter is 0.1mm and syringe pressure is 8 bar, by closed loop control, the achieved average flow rate is 0.023L/min and the minimum diameter of stable droplets is 0.8 mm.

Recommended Citation

Fu, Yunbo; Li, Xinbo; Liu, Guojun; Liu, Jianfang; and Shi, Yaowu (2020) "PID Closed Loop Control Performance Analysis of Piezostack-driven Jet Dispensing Valve," Journal of System Simulation: Vol. 27: Iss. 5, Article 33.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss5/33

First Page

1152

Revised Date

2014-10-28

DOI Link

https://doi.org/

Last Page

1157

CLC

TP391.9

Recommended Citation

Fu Yunbo, Li Xinbo, Liu Guojun, Liu Jianfang, Shi Yaowu. PID Closed Loop Control Performance Analysis of Piezostack-driven Jet Dispensing Valve[J]. Journal of System Simulation, 2015, 27(5): 1152-1157.