预磨矿过程模糊解耦控制设计

Design and simulation of fuzzy-decoupling controller for pre-mill processing

针对预磨矿设备控制精度低、磨矿效率低、产品质量较差等缺点,提出了一种模糊解耦控制算法。将预磨矿过程多变量系统,通过解耦后形成两个单输入单输出通道,使得给料直接控制主电机电流,转速直接控制排料粒度,并分别设计了电流模糊控制器和粒度模糊控制器,对解耦后的系统进行控制。通过MATLAB仿真表明,与常规PID控制相比,采用模糊解耦控制,明显改善了预磨矿系统的稳定性和动态性,并且具有更强的自适应能力和鲁棒性。通过对钨矿石的预磨试验表明,采用模糊解耦控制器,预磨机工作的稳定性和产品质量明显提高。

Aiming at the low controlling pricy, inefficiency and bad product quality for pre-mill system, a fuzzy-decoupling control system is proposed. Through decoupling, two single input-single-output channels are created, which make the feeding control the motor current and the rev control the particle size directly, then two individual fuzzy controllers which are current fuzzy controller and granularity fuzzy controller are designed to control the system. The simulation by MATLAB shows that the pr-grinding system static and dynamic properties, adaptivity, and robustness by fuzzy decoupling control are more superior than that of the conventional PID control. The pre-grinding test on tungsten ore indicates that working stability and product quality of the pre-mill are evidently improved by using fuzzy-decoupling control system.