Design and Simulation of Robust Ball Grinding Mill Control System

摘要：

Aiming at the influence of parameter uncertainty on the control system, two design methods of robust controller are presented to design output feedback controllers, regarding the ball grinding mill system to be the research object. One is the reversed-frame normalizing (RFN) method, which is based on the matrix singular value decomposition. Through setting the desirability objective function, the controller is acquired using the least-squares technique. The other is the H-infinite method which is based on linear matrix inequalities (LMI). Aiming at the specific parameter uncertainty and disturbance, the method to design two independent SISO systems is presented in this paper. The simulation results of the two controllers showed that both of the two control systems have good robustness, the decoupling between control signals and the error tracking between the output and the given variable are realized.

关键词： robustness reversed-frame normalizing method H-infinite linear matriz inequalities decoupling

作者: SU Jie ZHANG Xin-gang ZENG Xin CUI Yong-le

作者单位: Academy of Control Science and Engineering, North China Electric Power University, Baoding 071003, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 2813-2818

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）