Closed-loop control systems for pumps used in portable analytical systems
•Overview of positive displacement pumps in portable analytical systems.•Discussion on factors that influence pressure/flow stability.•Overview of the use of closed-loop control of positive displacement pumps.•Discussion of recent developments in control systems that can enhance fluidic control. The...
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Veröffentlicht in: | Journal of Chromatography A 2023-04, Vol.1695, p.463931, Article 463931 |
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Sprache: | eng |
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Zusammenfassung: | •Overview of positive displacement pumps in portable analytical systems.•Discussion on factors that influence pressure/flow stability.•Overview of the use of closed-loop control of positive displacement pumps.•Discussion of recent developments in control systems that can enhance fluidic control.
The demand for accurate control of the flowrate/pressure in chemical analytical systems has given rise to the adoption of mechatronic approaches in analytical instruments. A mechatronic device is a synergistic system which combines mechanical, electronic, computer and control components. In the development of portable analytical devices, considering the instrument as a mechatronic system can be useful to mitigate compromises made to decrease space, weight, or power consumption. Fluid handling is important for reliability, however, commonly utilized platforms such as syringe and peristaltic pumps are typically characterized by flow/pressure fluctuations and slow responses. Closed loop control systems have been used effectively to decrease the difference between desired and realized fluidic output. This review discusses the way control systems have been implemented for enhanced fluidic control, categorized by pump type. Advanced control strategies used to enhance the transient and the steady state responses are discussed, along with examples of their implementation in portable analytical systems. The review is concluded with the outlook that the challenge in adequately expressing the complexity and dynamics of the fluidic network as a mathematical model has yielded a trend towards the adoption of experimentally informed models and machine learning approaches.
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ISSN: | 0021-9673 1873-3778 |
DOI: | 10.1016/j.chroma.2023.463931 |