Design of an automated testing stand for development and optimization precision liquid dispensing algorithms on weighing scale

Abstract

The research focuses on the design and implementation of an automated testing stand intended for the development and optimization of liquid dispensing algorithms on weighing scales in industrial applications. The proposed stand is conceptualized as a modular and reconfigurable platform that integrates computer-based modelling with physical experimentation, ensuring flexibility, repeatability, and cost-effectiveness during the evaluation of dosing strategies. Unlike purely experimental prototypes, the stand provides a safe environment for iterative refinement of algorithms without the need for constant hardware modification. By interpreting the dispensing process as a discrete-event system with parallel subprocesses, the approach supports formal reasoning about state transitions, synchronization between concurrent operations, and resource arbitration. At the same time, it enables comprehensive performance assessment through simulation and hardware-in-the-loop (HIL/SIL) experiments, covering aspects such as cycle time distribution, steady-state accuracy, robustness against noise, and response to variable liquid properties. The outcomes of this research are expected to include: A reference architecture of a laboratory – industrial test stand incorporating multiple subsystems—control, visualization, storage, pressure regulation, valves, and weighing devices – designed for compatibility with PLC and HMI environments. A methodology for selecting, tuning, and verifying dosing algorithms across coarse, fine, and dribble phases, including stability detection and parameter adaptation under realistic operational constraints. Guidelines and recommendations for integration into industrial automation practice, addressing traceability from verified models (Petri nets, DEVS, FSM) to IEC 61131-3 PLC code and SCADA visualization. The proposed stand thus acts not only as a research and validation tool but also as a bridge between academic modelling methods and real-world industrial deployment. It has the potential to enhance accuracy and efficiency in sectors where dosing precision is critical, such as food processing, pharmaceuticals, chemical manufacturing, and energy technologies, while simultaneously serving as a training platform for future automation engineers.