The liquid filling control system is a servo system designed to adjust the injection pump stroke based on different filling settings, thereby achieving automatic filling operations. With increasing consumer demands and intense market competition, high-speed and high-precision filling machines have become a development trend in the filling industry, particularly in the pharmaceutical and cosmetics sectors. Currently, most companies rely on improving the production line technology and manufacturing processes to achieve certain results, but this increases production costs, labor intensity, and decreases production efficiency. To address these issues, it is feasible to improve the control system of existing filling machines to enhance system response speed or add supplementary filling stations to replace manual adjustments and improve production efficiency.
Conventional PID control is a widely used control strategy applicable to many industrial automation production scenarios due to its simple structure and ease of implementation. However, it has significant drawbacks, such as insufficient stability, optimization capability, and self-regulation ability. For controlled objects with significant nonlinearity and time delay issues, PID control alone is insufficient. In recent years, many researchers have introduced advanced intelligent control algorithms into filling production lines to enhance system control performance. Building on existing research, Jill Group has designed an improved intelligent filling system, focusing on addressing the issue of secondary filling. By integrating cerebellar neural networks, PID control, and Jill Group’s proprietary filling control algorithm, the system can significantly enhance filling accuracy. The system operates reliably and stably, meeting the requirements for high speed and high precision.
