The Application and Integration of Intelligent Algorithms in Mechatronics Intelligent Manufacturing Systems

In view of the problems of low production efficiency and insufficient intelligence in the current intelligent manufacturing system, this paper adopts the comprehensive application of multiple intelligent algorithms, including genetic algorithm (GA), feedforward neural network (FNN) and fuzzy logic (FL). In the electromechanical intelligent manufacturing system, this paper collects data from various equipment and sensors in the production process, optimizes the structure and parameters of FNN by using genetic algorithm, encodes the weights and thresholds of FNN as chromosomes in GA, introduces fuzzy logic in the output layer of FNN, and fuzzifies the output results. In terms of product quality control, the average product qualification rate of the combined algorithm increased from 89.62% to 97.06%, and the production time was greatly shortened. This paper provides effective technical support for the optimization of intelligent manufacturing systems.