Passivity-Based Control of Nuclear Reactors Considering Cold Side Temperature

Dong, Zhe; Cheng, Zhonghua; Lin, Xuan; Zhu, Yunlong; Chen, Fan; Huang, Xiaojin

doi:10.1109/iecon51785.2023.10312683

IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society 2023

DOI: 10.1109/iecon51785.2023.10312683

|View full text |Cite

Passivity-Based Control of Nuclear Reactors Considering Cold Side Temperature

Zhe Dong,

Zhonghua Cheng,

Xuan Lin

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

AVR Fractional-Order Controller Based on Caputo–Fabrizio Fractional Derivatives and Integral Operators

Lozynskyy,

Kozyra,

Kutsyk

et al. 2024

Energies

View full text Add to dashboard Cite

The application of a fractional-order controller (FOC) using the Caputo–Fabrizio representation in the automatic voltage regulation (AVR) system of a synchronous generator is shown in this paper. The mathematical model of the system is created and the adequacy of the model is confirmed. The efficiency of the proposed regulator in different operating regimes is demonstrated. In particular, the proposed controller improves voltage regulation in a wide range of changes in the coordinates that characterize the power system operation mode, and it increases the system’s robustness to both uncertainties and nonlinearities that often occur in power systems. The synthesized fractional-order regulator provides higher response and control accuracy compared to traditional regulators used in automatic voltage regulation (AVR) systems.

show abstract

AVR Fractional-Order Controller Based on Caputo–Fabrizio Fractional Derivatives and Integral Operators

Lozynskyy,

Kozyra,

Kutsyk

et al. 2024

Energies

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Passivity-Based Control of Nuclear Reactors Considering Cold Side Temperature

Cited by 1 publication

References 15 publications

AVR Fractional-Order Controller Based on Caputo–Fabrizio Fractional Derivatives and Integral Operators

AVR Fractional-Order Controller Based on Caputo–Fabrizio Fractional Derivatives and Integral Operators

Contact Info

Product

Resources

About