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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

张安安 刘川 黄璜 杨威 张曦

中国电机工程学报2024,Vol.44Issue(z1):191-201,11.
中国电机工程学报2024,Vol.44Issue(z1):191-201,11.DOI:10.13334/j.0258-8013.pcsee.231724

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

张安安 1刘川 1黄璜 1杨威 1张曦1

作者信息

  • 1. 西南石油大学电气信息学院,四川省 成都市 610500
  • 折叠

摘要

Abstract

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.

关键词

固体氧化物燃料电池电堆/龙伯格-滑模观测器/温度分布/系统解耦/抖振抑制

Key words

solid oxide fuel cell(SOFC)power stack/Luenberger-sliding mode observer/temperature distribution/system decoupling/jitter suppression

分类

信息技术与安全科学

引用本文复制引用

张安安,刘川,黄璜,杨威,张曦..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[J].中国电机工程学报,2024,44(z1):191-201,11.

基金项目

西南石油大学自然科学"揭榜挂帅"项目(2021JBGS06) (2021JBGS06)

四川省科技计划项目(2023YFQ0073,2024NSFSC0862).Southwest Petroleum University Natural Science"Unveiling and Commanding"Program(2021JBGS06) (2023YFQ0073,2024NSFSC0862)

Sichuan Science and Technology Program(2023YFQ0073,2024NSFSC0862). (2023YFQ0073,2024NSFSC0862)

中国电机工程学报

OA北大核心CSTPCD

0258-8013

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