Application of Intelligent Technology in Electromechanical Engineering System

Introduction: With the rapid development of science and technology, the systems in various industrial fields are becoming more and more complex and huge, and the degree of intelligence and integration is constantly improving. Objectives: Combined with several theoretical branches of intelligent control research, this paper analyzes the current application of intelligent control in electromechanical control system from the aspects of construction machinery, mechanical manufacturing, robot technology and industrial process. Methods: This paper also analyzes the research hotspot and focus of intelligent electromechanical fault diagnosis. This paper presents a fault diagnosis method of electromechanical actuator based on LVQ neural network. At the same time, this paper designs and improves the LVQ neural network learning algorithm and network parameters, and improves the classification effect of LVQ neural network. In this paper, a mechanical fault diagnosis method based on GA-SVM algorithm is proposed, and the real value coded genetic algorithm is used to improve the parameter optimization of support vector machine. Results: Experiments show that this method improves the classification speed of support vector machine. Finally, the effectiveness and superiority of the two fault diagnosis methods designed in this paper are verified. Conclusions: By summarizing the application status of intelligent control, this paper puts forward some development countermeasures to further develop intelligent control.