中国电机工程学报2024，Vol.44Issue(10)：3927-3936,中插15,11.DOI:10.13334/j.0258-8013.pcsee.222534
基于LSTM-MPC的PEMFC运行状态建模与容错控制
Operating States Modeling and Fault-tolerant Control of PEMFC Based on LSTM-MPC
摘要
Abstract
Proton exchange membrane fuel cell(PEMFC)has multi-physics coupling characteristics,so PEMFC is prone to different faults and difficult to control.In order to control the fault quickly and effectively,a fault tolerant control scheme for PEMFC based on model predictive control(MPC)is proposed.First,the LSTM model prediction error is taken as the fitness function of genetic algorithm to obtain the optimal long short-term memory(LSTM)hyperparameter combination.Based on data drive,the LSTM prediction model of PEMFC system under four different operating states is established,which is used as the prediction model module.Moreover,the optimal controller based on neural network is established as the controller module,and the fault tolerant control scheme is developed,which takes the input gas pressure of anode and cathode of PEMFC system as the control quantity and the reactor voltage as the output quantity.Finally,the simulation verifies the LSTM prediction model and the fault tolerant control scheme,and the root mean square error(RMSE)index values of the LSTM prediction model in the training set and the test set are 0.0489 and 0.0558,respectively,showing a good fitting effect.Compared with the traditional PID fault-tolerant control scheme,the voltage recovery time of MPC is shortened by 50%or more under different fault states,and the maximum voltage drop is reduced by 22.2%under the hydrogen leakage fault state,which proves the effectiveness and correctness of the proposed control strategy.关键词
质子交换膜燃料电池/数据驱动/神经网络/模型预测控制/容错控制Key words
proton exchange membrane fuel cell/data-driven/neural network/model predictive control/fault-tolerant control分类
信息技术与安全科学引用本文复制引用
袁铁江,郭泽林,胡辰康..基于LSTM-MPC的PEMFC运行状态建模与容错控制[J].中国电机工程学报,2024,44(10):3927-3936,中插15,11.基金项目
国家电网有限公司科技项目(5419-202257456A-2-0-ZN).Science and Technology Project of State Grid Corporation of China(5419-202257456A-2-0-ZN). （5419-202257456A-2-0-ZN）
