Nghiên cứu phát triển bộ điều khiển học lặp cho hệ thống tạo vi giọt chất lỏng theo yêu cầu (droplet-on-demand)

Abstract

The development of systems to deliver drugs and chemicals into the body requires high accuracy to improve efficiency and reduce toxicity and adverse effects of drugs. In order to generate microdroplets, microfluidic technology is emerged as one of the most effective methods. In this paper, the authors proposed a droplet-on-demand generation system based on the Y-junction microfluidic structure with the generated droplet sizes adjusted by the iterative learning control (ILC) method. The ILC controller can modify the current control input based on the error information measured during earlier experimental procedures, resulting in the desired droplet size in the proposed Y-junction microfluidic channel. The effectiveness of the ILC method was validated by experiments. The obtained results showed that the proposed system can generate the required droplet size after 6 to 7 iterations. The results also proved the potential of integrating the ILC technique in the microdroplet generation system. The proposed system can be extended to apply in the drug delivery systems for patients in hospitals or chemical mixing systems.