Platform for Operational Optimal, Process Modelling and Controlling Education of Complex Industrial Process

This paper presents a new platform which can be used for testing the operational control system, developing operational optimal algorithm and process modeling algorithm. The platform is also built for the laboratory course of control engineering for industry process such as mineral, cement and power plant fields, which locates at Northeastern University in Liaoning province, China. The presented platform can provide an approximately industrial operation environment. The proposed simulation platform consists of real process control system (PCS) and virtual process plant (VPP), which has the character of generalization, modularization and expandability. On such a platform, relevant rules are defined for the re-develop of the special operational optimal system, operational control system and process model. The courses of control engineering based on the platform make understand for the controlling, optimization and modeling of the complex industry process more easily, which is useful for the students in the future work. For the researcher, the rulers make the use of the platform easy, and the emphasis can only be putted on the research of the algorithm for optimization and modeling. The ball mill coal pulverizing system is developed on the platform and the result shows that the platform is available and validate.