Poor control of the steam generator water level in the secondary circuit of a nuclear power plant can lead to frequent reactor shutdowns. Such shutdowns are caused by violation of safety limits on the water level and are common at low operating power where the plant exhibits strong nonminimum phase characteristics and flow measurements are unreliable. There is, therefore, a need to systematically investigate the problem of controlling the water level in the steam generator in order to prevent costly reactor shutdowns. This paper presents a general framework for addressing all aspects of this problem using model predictive control techniques.
|Original language||English (US)|
|Title of host publication||Proceedings of the IEEE Conference on Decision and Control|
|Number of pages||6|
|State||Published - 1996|
|Event||Proceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4) - Kobe, Jpn|
Duration: Dec 11 1996 → Dec 13 1996
|Name||Proceedings of the IEEE Conference on Decision and Control|
|Other||Proceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4)|
|Period||12/11/96 → 12/13/96|
Bibliographical noteFunding Information:
As part of our future work, we plan to use a time-varying version of the Kalman filter gain in the MPC estimator to account for the varying plant model and also the variation in the intensities of the process noise over the operating power range. We also plan to incorporate a priori knowledge of future power/set-point changes in the algorithm. Such a modification is expected to address the problems related to the inverse response behavior of the plant. The study of the closed-loop stability of this LPV MPC design remains an issue to be explored. Acknowledgment: Partial financial support from Direction des Etudes et Recherches, Electricitd de France is gratefully acknowledged.