高温气冷堆核蒸汽供应系统出口蒸汽温度的T-S模糊控制方法

高温气冷堆（HTGR）是国际核能界公认的一种具有良好安全特性的堆型，具有第四代核能系统的技术特征，其核蒸汽供应系统（NSSS）复杂的非线性特性，对控制策略的设计提出了挑战。另一方面，T-S模糊控制方法在复杂非线性系统的控制方面存在巨大优势，因此在高温气冷堆核蒸汽供应系统中应用T-S模糊控制方法，可能会获得较传统线性控制方法更好的控制性能。本文提出了一种T-S模糊控制器的系统化设计方法，首先建立高温气冷堆核蒸汽供应系统出口蒸汽温度的T-S模糊控制系统模型；然后基于李雅普诺夫方法，得到T-S模糊控制系统的双线性矩阵不等式（BMI）形式的全局渐近稳定条件；最后通过局部最小化算法求解双线性矩阵不等式，得到T-S模糊控制器的参数。仿真结果表明，按照这一系统化方法设计的T-S模糊控制器较传统的线性PI控制器表现出更好的控制特性。

T-S Fuzzy Method for Control of Steam Temperature of Modular-HTGR-based Nuclear Steam Supplying System

Because of its outstanding inherent safety feature, high-temperature gas-cooled reactor (HTGR) is one of the most popular Generation Ⅳ nuclear energy system. However, the highly complex nonlinearity of HTGR-based nuclear steam supplying system (NSSS) puts higher requirements to its control system. On the other hand, T-S fuzzy control approach is a powerful tool in the control of complex nonlinear system, thus it is natural to consider applying this method on the control of the steam temperature of the HTGR-based NSSS. A T-S fuzzy steam temperature controller for the HTGR-based NSSS was first designed in this paper. Bilinear matrix inequalities were then constructed as stable conditions of the T-S fuzzy system based on the Lyapunov approach. A local minimization algorithm was finally used to solve the bilinear matrix inequalities for the parameters of the T-S fuzzy controller. The simulation results show that the designed T-S fuzzy controller does have a better performance than the traditional PI controller.