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
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Mar 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
April 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
60 Years of U: Perspectives on resources, demand, and the evolving role of nuclear energy
Recent years have seen growing global interest in nuclear energy and rising confidence in the sector. For the first time since the early 2000s, there is renewed optimism about the industry’s future. This change is driven by several major factors: geopolitical developments that highlight the need for secure energy supplies, a stronger focus on resilient energy systems, national commitments to decarbonization, and rising demand for clean and reliable electricity.
Nafisah Khan, Lixuan Lu
Nuclear Technology | Volume 172 | Number 3 | December 2010 | Pages 278-286
Technical Paper | Instrumentation and Control Systems | doi.org/10.13182/NT10-A10936
Articles are hosted by Taylor and Francis Online.
This paper presents a decoupling algorithm for a large pressurized heavy water reactor to facilitate the design of a decentralized control system. The reactor models are generally high-order systems, which increases the difficulty of designing control systems. A convenient method of model reduction while maintaining the important dynamic characteristics of the process is through decoupling. The new decoupling algorithm proposed in this paper is used to create a decoupled system for decentralized controller design. To demonstrate the performance of this algorithm, a 72nd-order system was decoupled into three partitions, each containing 20, 27, and 25 states. Both a centralized controller based on the original model and decentralized controllers based on the decoupled model are designed. The advantage of the decentralized controller is shown through a fail-safe study.