Nonlinear, advanced pressure controller for a PWR pressurizer

Mauro Cappelli, Bernardino Castillo-Toledo, Stefano Di Gennaro

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

A controller is usually designed using a model (control model) which can be analytically simple, but accurate enough to capture the main characteristics of the underlying physics. There are only a few papers in the literature that report simple dynamic models for boiling or pressurized water reactors. A relatively simple dynamic model for PWR, from the literature, was considered by the authors, and a dynamic controller for the pressurizer water level and pressure was proposed. The nonlinear controller will take advantage of the sliding mode results on parameter estimation, enhancing its robustness versus parameter uncertainties and external disturbances. In particular, the high order sliding mode technique, or super-twisting algorithm, has been used to determine an estimator, embed'ded in the controller dynamics, which estimates in finite time the (unknown) perturbative terms due to parameter uncertainties and external disturbances. In this way, these perturbative terms can be cancelled by the control, and the dynamic behaviour of the controlled system sensibly improves with respect to both PID controllers, usu'ally used in such applications, and nonlinear controllers, cancelling nonlinear terms. A comparative study of the proposed controller, in the presence of faults and/or reference transients in III Gen PWRs, is reported.
Original languageEnglish
Publication statusPublished - 2015
Externally publishedYes
Event9th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2015 - Charlotte, United States
Duration: 1 Jan 2015 → …

Conference

Conference9th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2015
CountryUnited States
CityCharlotte
Period1/1/15 → …

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Human-Computer Interaction

Cite this

Cappelli, M., Castillo-Toledo, B., & Di Gennaro, S. (2015). Nonlinear, advanced pressure controller for a PWR pressurizer. Paper presented at 9th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2015, Charlotte, United States.