Temperature Compensation of Four-Electrode Electrochemical Gas Sensors Based on MPSO-BP Algorithm
In order to solve the problem that the measurement accuracy of four-electrode electrochemical gas sensor is easily affected by ambient temperature,a temperature compensation method based on particle swarm optimization BP neural network algorithm(PSO-BP)is proposed.The modified PSO algorithm(MPSO)is used to optimize the weight and threshold of BP neural network and the temperature compensation model of four-electrode electrochemical gas sensor is constructed.The test system of gas sensor is also designed.The ex-perimental results show that MPSO-BP algorithm can effectively improve the convergence speed and generalization ability of BP neural network.The temperature compensation model of four-electrode gas sensor based on MPSO-BP algorithm can control the temperature compensation error within 0.1%.
temperature compensationelectrochemical gas sensorsparticle swarm optimizationBP neural networkfour-electrode
万方数据
维普
