ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2025 ANS Winter Conference & Expo
November 8–12, 2025
Washington, DC|Washington Hilton
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Nov 2025
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
December 2025
Nuclear Technology
November 2025
Fusion Science and Technology
Latest News
DOE seeks proposals for AI data centers at Paducah
The Department of Energy’s Office of Environmental Management has issued a request for offer (RFO) seeking proposals from U.S. companies to build and power AI data centers on the DOE’s Paducah Site in Kentucky. Companies are being sought to potentially enter into one or more long-term leasing agreements at the site that would be solely funded by the applicants.
H. H. Norman, E. A. Parziale, J. K. Saluja, R. F. Schenz, Jr.
Nuclear Technology | Volume 15 | Number 3 | September 1972 | Pages 447-454
Nuclear Technology | Aerospace | doi.org/10.13182/NT72-A16041
Articles are hosted by Taylor and Francis Online.
Modern control system theory has been applied to the design of the control system for the nerva nuclear rocket engine. Multiloop classical controls design approach has been used previously in the engine test program. The configuration and operation of the engine system with the resulting high degree of coupling and the multivariable nature of the system establishes a need for modern control techniques with considerable ad vantages over classical methods. The design procedure consists of system model linearization, system simplification, and the quadratic optimal control design. Transient performance results have been obtained from digital implimentation of the control system.