基于遗传算法的球磨机模糊——神经元控制系统

Fuzzy-neural Control System for Ball Miller Based on GA

提出了一种基于遗传算法的模糊-神经元控制系统实现水泥厂球磨机自控的设计方案。将遗传算法与模糊逻辑、神 经元控制相结合,可以较好地解决球磨机现场控制系统被控参数的耦合问题,为解决球磨机的控制难题提供了一个新的思路。 详细描述了系统的算法学习训练过程,仿真结果表明,该系统能够提高控制过程的稳定性和可靠性。

Designing project is presented for ball millers of cement factory using fuzzy- neural control system based on GA. The coupling problem of parameters can be resolved for the controlling system of ball millers through combining GA and fuzzy - neural control. A new method is advanced for the controlling problem of ball millers. The study process of algorithm is described. It has been verified by simulation that the stability and reliability in the control process can be improved.