摘要
针对Knelson选矿机选矿系统强耦合、非线性的特点,以及选矿过程控制不稳定、精度低、响应慢等问题,提出一种基于模型解耦的模糊控制算法。将离心选矿系统多变量、强耦合的给矿过程,通过动态模型解耦变成两个互不干扰的单输入单输出环节,实现给水量直接控制给矿流量,固体给料量直接控制给矿质量分数。针对给矿流量和给矿质量分数这两个目标量分别设计模糊控制器,实行模糊解耦控制。通过Simulink建模仿真并与常规PID控制器对比,结果表明,采用模糊解耦控制,最大超调量为10%,稳态误差为±3%,控制效果显著提升,性能更优。设计试验,将设计的模糊解耦控制器应用于实验室现有Knelson离心选矿机中,验证了该控制器对离心选矿系统的稳定性能和动态性能有明显的提升。
A fuzzy control algorithm based on model decoupling was proposed to solve the problems of strong coupling,nonlinear complex process,low instability precision and slow response in the ore dressing process of Knelson concentrator. By decoupling the multi-variable and strong coupling ore feeding process of centrifugal mineral processing system into two single-input and single-output links without interfering with each other,the feed water quantity could directly control the ore feed flow,and the solid feed quantity directly controlled the ore feed concentration. The fuzzy controller and fuzzy decoupling control were designed for the two target variables of feed flow and ore concentration respectively. Through Simulink modeling and simulation,and compared with the conventional PID controller,the maximum overshoot was 10% and the steady-state error was ± 3% by using fuzzy decoupling control. The control effect was improved significantly and the performance was better.The designed fuzzy decoupling controller was applied to the existing Knelson centrifugal concentrator in laboratory. The results showed that the controller could improve the stability and dynamic performance of centrifugal mineral processing system.
作者
蔡改贫
刘鑫
许琴
CAI Gaipin;LIU Xin;XU Qin(School of Mechanical&Electrical Engineering,Jiangxi University of Science&Technology,Ganzhou 341000,Jiangxi,China)
出处
《河南理工大学学报（自然科学版）》
CAS
北大核心
2019年第3期104-110,共7页
Journal of Henan Polytechnic University（Natural Science）
基金
国家自然科学基金资助项目(51464017)
