Design and Optimization of Electric Automation Control System for Large Machinery Based on Grey Clustering Algorithm

With the advent of automation era in modern product manufacturing industry, product assembly technology urgently needs to realize automation in order to improve product assembly efficiency, assembly quality and consistency. In mechanical systems, the communication mode is usually bus at the control end and bus at the execution end. The main task of the design and development of an optical-communication module is to convert the communication mode at the control end into optical communication mode and the bus mode at the execution end into optical communication mode, that is, to complete the design and development of the bus-to-photon module and the optical-to-bus submodule. PID controller is often used in the design of power control system. The control effect of PID controller is greatly affected by parameters. The traditional parameter setting method is more complex and difficult to set. An optimal design method of power control system for electrical automation equipment based on grey clustering is proposed. Firstly, the grey clustering is introduced, and then the application of grey clustering in the design of power control system of electrical automation equipment is emphatically studied.