L ₁-Adaptive Robust Control Design for a Pressurized Water-Type Nuclear Power Plant

• Published in: IEEE transactions on nuclear science 2021-07, Vol.68 (7), p.1381-1398
• Main Authors: Vajpayee, Vineet, Becerra, Victor, Bausch, Nils, Deng, Jiamei, Shimjith, S. R., Arul, A. John
• Format: Article
• Language: English
• Subjects: Adaptive control; Control systems design; Design; Disturbances; Feedback control; Linear quadratic Gaussian control; Loop transfer recovery; Nuclear energy; Nuclear power plants; Pressurized water reactors; Robust control; Subsystems; Technology transfer; Uncertainty
• ISSN: 0018-9499; 1558-1578
• DOI: 10.1109/TNS.2021.3090526

This work proposes adaptive control-based design strategies to control a pressurized water reactor (PWR) nuclear power plant (NPP). An [Formula Omitted]-adaptive-based state-feedback control technique is proposed using the linear quadratic Gaussian control and projection-based adaptation laws. The control scheme possesses good robustness capabilities in handling disturbances and uncertainties. A robust [Formula Omitted]-adaptive control technique is also proposed by combining the [Formula Omitted]-adaptive control with the loop transfer recovery (LTR) technology. The framework hence gives the strengthened robust set-point tracking performance given the matched and unmatched uncertainties and disturbances. The NPP model employed in this article is defined by five inputs, five outputs, and 38 state variables. A linear model for controller design is obtained by linearizing the nonlinear NPP model at operating conditions. Various simulations are carried out on subsystems of the NPP to verify the effectiveness of the proposed scheme. Numerical and statistical measures are computed for quantitative analysis of the controllers’ performance. Several classical control design techniques are also implemented, and their performance is compared with the proposed adaptive control techniques.