摘要
根据电渣重熔过程的工艺特点和数学模型,提出了基于改进混合蛙跳算法(ISFLA)的多变量参数自整定PID控制策略.提出一种新的蛙跳规则,用以增强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,提高算法的搜索效率.仿真结果和工业应用实验均表明了所提出控制方法的可行性和有效性.
Based on the technique features and mathematical model of electroslag remelting(ESR) process,a multivariable self-tuning PID controller tuned optimally by an improved shuffled frog leaping algorithm(ISFLA) is proposed to control the two-input-two-output(TITO) ESR process.A new frog leaping rule is proposed to enhance the SFLA's local search capabilities,which adjusts the frog local search space and the step of each flog's jump 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 and industrial application tests show the feasibility and effectiveness of the proposed control method.
出处
《控制与决策》
EI
CSCD
北大核心
2011年第11期1731-1734,共4页
Control and Decision
基金
中国博士后科学基金面上项目(20110491510)
辽宁省教育厅创新团队基金项目(2008T091)
关键词
电渣重熔过程
多变量系统
PID控制器
混合蛙跳算法
electroslag remelting process
multivariable system
PID controller
shuffled frog leaping algorithm