Construction method of PID parameter self-tuning model of vehicle nitrogen oxygen sensor

The invention belongs to the field of automobile exhaust sensing detection, and particularly relates to a method for constructing a PID parameter self-tuning model of an automobile nitrogen-oxygen sensor, which comprises the following steps of: aiming at a three-cavity nitrogen-oxygen sensor, optimizing a structure initial value problem existing in a network by adopting a mode of combining a fuzzy neural network and a genetic algorithm to obtain a PID parameter self-tuning model of the three-cavity nitrogen-oxygen sensor; according to the method, a reasonable structure initial value can be given to the fuzzy neural network, local optimum and gradient disappearance of the network are avoided, in addition, the specific steps of coarse adjustment and fine adjustment are combined, initial structure parameters are updated only through the genetic algorithm in the coarse adjustment, and the fine adjustment is obtained on the basis of the initial structure parameters subjected to coarse optimization through the gene