This software is used in an automated cryogenic control system developed to monitor and control the operation of small-scale crycoolers. The system was designed to automate the cryogenically cooled low-noise amplifier system described in “Automated Cryocooler Monitor and Control System” (NPO-47246), NASA Tech Briefs, Vol. 35, No. 5 (May 2011), page 7a.

The software contains algorithms necessary to convert non-linear output voltages from the cryogenic diode-type thermometers and vacuum pressure and helium pressure sensors, to temperature and pressure units. The control function algorithms use the monitor data to control the cooler power, vacuum solenoid, vacuum pump, and electrical warm-up heaters. The control algorithms are based on a rule-based system that activates the required device based on the operating mode. The external interface is Web-based. It acts as a Web server, providing pages for monitor, control, and configuration. No client software from the external user is required.

This work was done by Michael J. Britcliffe, Bruce L. Conroy, Paul E. Anderson, and Ahmad Wilson of Caltech for NASA’s Jet Propulsion Laboratory.

This software is available for commercial licensing. Please contact Daniel Broderick of the California Institute of Technology at This email address is being protected from spambots. You need JavaScript enabled to view it.. Refer to NPO-47247.



This Brief includes a Technical Support Package (TSP).
Document cover
Automated Cryocooler Monitor and Control System Software

(reference NPO-47247) is currently available for download from the TSP library.

Don't have an account?



Magazine cover
Software Tech Briefs Magazine

This article first appeared in the September, 2011 issue of Software Tech Briefs Magazine (Vol. 35 No. 9).

Read more articles from this issue here.

Read more articles from the archives here.


Overview

The document outlines the development and functionality of an Automated Cryocooler Monitor and Control System created by Michael Britcliffe at NASA's Jet Propulsion Laboratory (JPL). This system is designed to enhance the operation of small-scale cryocoolers, particularly those used in the NASA Deep Space Network (DSN) for cryogenically cooled low-noise amplifiers in large aperture antennas.

Traditionally, the operation and maintenance of these cryogenic systems required skilled technicians to manually monitor performance and execute cool down and warm-up procedures, which could take several hours and involved significant operator intervention. The automated system aims to streamline these processes, reducing the mean time to return to service by a factor of two. It employs a single board computer with custom software and hardware to monitor and control the cryogenic operations, allowing for both local and remote operation via a web interface.

The system automates critical functions, including the control of the vacuum process, which is essential for maintaining the necessary insulation for the cooled area. It utilizes a commercial electrically operated solenoid valve for vacuum control and a motor starter for compressor power management. The software, developed in a C-based programming language, includes algorithms for converting non-linear output voltages from thermometers and pressure sensors into usable temperature and pressure units. The control algorithms are rule-based, activating devices based on the current operating mode, which includes "Cool," "Heat," "Pump," and "Off" modes.

The document also highlights the system's applications beyond the DSN, indicating its potential use in electronic cooling, medical imaging, and cryopumps. Currently, three systems are operational at each DSN complex, specifically for the Ka2 LNA systems, utilizing a Helix Technology Model 350 two-stage Gifford McMahon cryocooler.

In summary, the Automated Cryocooler Monitor and Control System represents a significant advancement in cryogenic technology, enhancing the efficiency and reliability of critical systems used in space exploration and other fields. The automation of these processes not only improves operational efficiency but also reduces the need for constant human oversight, allowing for more effective management of cryogenic systems.