A parallel intelligent control system and its industrial application

Parallel control refers to the parallel interaction between the actual physical process and the manual calculation process. The ACP method under its theoretical framework includes artificial system, calculation experiment and parallel control. This paper presents a parallel intelligent control system implementation method, parallel control system needs a carrier, including hardware platform and software system, based on this carrier, the system completes artificial intelligence modeling and real-time optimal control. Firstly, the structure of parallel control platform is introduced, which is composed of industrial control computer, server and power supply, The program function of server is the core part of parallel control system;Secondly. The architecture of parallel intelligent control system is given, The artificial system is designed as an object modeling system, Industrial control computer output excitation signal, The server collects the response data and completes the modeling;The calculation experiment is designed as a process of human-computer interaction, which helps to realize control quality judgment and parameter setting;The parallel control is realized by the industrial controller, and the optimal parameters or control algorithm are put into the controller in parallel to realize the real-time control. Finally, an industrial application example is given to prove the effectiveness of this method.