Adaptive Dosing Control System Through ARIMA Model for Peristaltic Pumps

Abstract

Peristaltic pumps play a crucial role in the pharmaceutical industry, offering advantages such as reduced cross-contamination risks and ease of use. However, their dosing precision often lags behind other devices like volumetric pumps. This study investigates the underlying causes of this phenomenon and proposes effective mitigation strategies to enhance accuracy. Notably, two novel aspects are explored: the underlying causes of dosing variation and compensation systems on precision filling. Through comprehensive analysis, the impact of product temperature on accuracy is unveiled, resulting mainly from variations that alter the elastic properties of the pipe material and lead to significant deviations in dosed volume. Therefore, temperature stabilization becomes imperative for optimal performance. Additionally, the Adaptive Dosing Control System (ADCS) based on time series prediction is introduced, enabling real-time compensation of volume delivery. The filling system is considered as a black box, allowing potential application of these findings on other similar industrial setups. Extensive experiments on state-of-the-art robotic production lines validate the ADCS’s stability and effectiveness, demonstrating up to a 30% improvement in accuracy. In conclusion, this research sheds light on the critical relationship between product temperature and peristaltic pump dosing, while the ADCS represents an advancement in precision filling technology. These results hold potential for enhancing precision, reducing wastage, and improving product quality in the pharmaceutical industry and other precision filling applications.

Keywords

• Peristaltic pumps
• adaptive control system
• forecasting compensatory control
• ARIMA