The contact resistance is important for electrical contact. The modeling method based on fuzzy logic is used to model contact resistance. The experiment is designed, the training data and testing data are obtained through experiment. After analyzing the advantages and disadvantages of basic particle swarm optimization algorithm, the improved algorithm is developed by combining basic particle swarm optimization algorithm and gradient descent algorithm, gradient descent algorithm is processed after basic particle swarm optimization algorithm. Through training data, fuzzy system is trained by gradient descent algorithm, basic particle swarm optimization algorithm and improved algorithm, the improved algorithm has better convergence than that of gradient descent algorithm and basic particle swarm optimization algorithm. The experience formula of contact resistance is also built. The models obtained by each method are tested by testing data respectively, the dependability of the models are verified and the prediction result is compared. The prediction effect of fuzzy system trained by improved algorithm is best in all models. The result of prediction and comparison shows that fuzzy system trained by improved algorithm is reliable to model contact resistance.
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