摘要
根据磨矿过程的数学模型,提出一种改进混合蛙跳算法优化的PID控制器对磨矿过程进行解耦控制。解耦后形成两个单输入单输出通道,使得磨机给矿的速率直接控制磨机排矿率,泵池给水的速率直接控制磨机粒度。一种新的蛙跳规则被提出用来增强SFLA的局部搜索能力,该规则主要通过模拟青蛙的感知和运动的不确定性来动态随机地调整青蛙的局部搜索空间和步长,以防止SFLA算法过早收敛和提高算法的搜索效率。仿真结果表明所提控制方法的可行性和有效性。
According to the mathematical model of the grinding process, an improved shuffled frog leaping algorithm （SFLA） was proposed to optimize the PID controller to control the grinding process. Through decoupling, two single-input single-output channels was created, which made the milling mine feed to control the milling discharge velocity and the water feed rate of the pump pool to control the milling particle size directly. The new frog leaping rule adjusted the frog local search space and the each flog＇s jump stepsize dynamically and randomly by emulating frog＇s perception and action uncertainties in order to prevent premature convergence and improve the search efficiency of SFLA. The simulation results clearly prove the feasibility and effectiveness of the proposed control method.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2011年第10期2220-2223,共4页
Journal of System Simulation
基金
辽宁省教育厅创新团队项目(2008T091)
辽宁省自然科学基金项目(20092176)
中国博士后科学基金面上项目(20110491510)
关键词
磨矿过程
PID控制器
混合蛙跳算法
解耦
grinding process
PID controller
shuffled frog leaping algorithm
decoupling
