This work proposes adaptive control-based design strategies to control a pressurized water reactor (PWR) nuclear power plant (NPP). An ${L_{1}}$ -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 ${L_{1}}$ -adaptive control technique is also proposed by combining the ${L_{1}}$ -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.

中文翻译：

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升压水式核电站的₁-自适应鲁棒控制设计

这项工作提出了基于自适应控制的设计策略来控制压水反应堆 (PWR) 核电站 (NPP)。一个 ${L_{1}}$ 使用线性二次高斯控制和基于投影的自适应法则提出了基于自适应的状态反馈控制技术。该控制方案在处理干扰和不确定性方面具有良好的鲁棒性。一个健壮的 ${L_{1}}$ - 还提出了自适应控制技术，结合 ${L_{1}}$ - 具有循环传输恢复 (LTR) 技术的自适应控制。因此，考虑到匹配和不匹配的不确定性和干扰，该框架提供了增强的鲁棒设定点跟踪性能。本文中采用的 NPP 模型由五个输入、五个输出和 38 个状态变量定义。通过在运行条件下对非线性 NPP 模型进行线性化，可以获得用于控制器设计的线性模型。对核电厂的子系统进行了各种模拟，以验证所提出方案的有效性。计算数值和统计测量值以对控制器的性能进行定量分析。还实现了几种经典的控制设计技术，并将它们的性能与所提出的自适应控制技术进行了比较。