水泥原料矿山生产过程智能控制与仿真应用

Intelligent Control and Simulation of the Production System of a Cement Raw Material Mine

根据水泥原料矿山的生产工艺特性 ,利用微型计算机DCS集散控制技术与现场总线技术 ,设计了矿山生产过程分层递阶控制结构。针对工艺各子系统中的不确定性、非线性、时滞性及子系统间的关联性 ,在基础层面采用现代控制与神经网络控制相结合 ;在协调优化层面实施自适应遗传算法等综合集成智能控制技术进行生产过程全局优化。同时采用了智能技术与Simulink相结合的系统仿真方法 ,确保了生产过程控制效果的稳定性、逼真性。

According to technical characteristics of a cement raw material mine, the graded layer control structure for its production system was designed, based on the distributed control technology with microcomputer and field bus control technology. In view of the uncertainty, nonlinearity, time lagging of production subsystems and the relations between the subsystems etc., the combination of modern control technology and neural network control technology was adopted to the base layer, and the complexly integrated intelligent control technology based on adaptive genetic algorithm etc. was adopted to the coordination and optimization layer so as to achieve the global optimization of the production system of a mine. The system simulation based on intelligent technology and 'simulink' was also used, so that the stability and reality of the control of the production system could be assured.