球磨机制粉系统参数自整定PID解耦控制器  

Self-tuning PID Decoupling Controller of Ball Mill Pulverizing System

作　　者：王介生[1] 王伟[1] 

机构地区：[1]大连理工大学自动化系

出　　处：《控制工程》2007年第2期135-139,共5页Control Engineering of China

基　　金：国家自然科学基金资助项目(60474058);教育部科学技术重点研究基金资助项目(01053)

摘　　要：针对球团厂钢球磨煤制粉系统具有多变量强耦合、时滞、非线性以及生产工况变化大的复杂性,已有的控制方法难以满足其控制要求的现状,以磨煤机的数学模型为依据,提出了一种新型的多变量PID解耦控制策略。该控制系统由比例因子模糊自整定单元、PID控制器和基于对角矩阵法的解耦补偿器组成;PID控制器参数由粒子群算法进行优化。仿真结果表明,所建模型和所提控制方法的有效性。该方法可在大范围内解决系统的非线性和强耦合问题,具有较强的鲁棒性和运行工况适应性。To the problem that ball mill coal pulverizing system of pelletizing plant is a complex nonlinear multivariable process with strongly coupling and time-delay,and the automatic control is difficult to apply to such systems,a new multivariable PID decoupling controller is proposed,which consists of diagonally matrix method-based decomposition compensatory unit,PID controller and fuzzy self-tuning components unit with scaling factor α.Particle swarm optimization algorithm is also adopted to optimize parameters of PID controller.Simulation results show the validity of the obtained model and the proposed control method.The method can overcome nonlinear and strong coupling features of the system in a wide range,and has strong robustness and adaptability.

关 键 词：制粉系统 解耦 PID控制器 粒子群优化算法 比例因子 

分 类 号：TK232[动力工程及工程热物理—动力机械及工程]