基于龙伯格-滑模观测器的固体氧化物燃料电池温度估计模型

Temperature Estimation Model for Solid Oxide Fuel Cell Based on Luenberger-sliding Mode Observer

固体氧化物燃料电池(solid oxide fuel cell,SOFC)作为一种新型发电装置,因高效无污染、全金属固态结构、燃料来源广等优点,在未来各个领域具有广阔应用前景。电堆内部的温度分布对其安全稳定运行至关重要,针对其内部温度难以获取的问题,该文设计一种龙伯格-滑模观测器估计电堆内部温度分布。首先,观测器的输入考虑系统可观性和工程应用,并结合能观矩阵条件数筛选出最优组合;然后,基于龙伯格和滑模观测器理论构造观测器具体结构;其次,为提升观测器性能,将电堆误差系统进行解耦,通过极点配置重新构造反馈增益;最后,通过平滑非线性不连续项,抑制观测器抖振现象。结果表明,所设计观测器相较于龙伯格和滑模观测器在收敛速度和误差波动方面具有明显优越性。

As a new type of power generation device,solid oxide fuel cell(SOFC)has a broad application prospect in various fields in the future due to its advantages of high efficiency,no pollution,all-metal solid structure and wide fuel source.The temperature distribution inside a reactor is very important for its safe and stable operation.It is difficult to obtain the internal temperature,and with the aim of solving this problem,a Luenberger-sliding mode observer is designed to estimate the internal temperature distribution.First,the observability of the system and engineering application are considered for the input of the observer,and the optimal combination is selected by combining the observable matrix condition number.Then,the observer structure is constructed based on Luenberger and sliding mode observer theory.Secondly,in order to improve the performance of the observer,the stack error system is decoupled and the feedback gain is reconstructed by pole assignment.Finally,the observer buffeting phenomenon is suppressed by smoothing the nonlinear discontinuities.The simulation results show that the designed observer has obvious advantages in convergence rate and error fluctuation compared with Luenberger and sliding mode observers.