权重改进的蛙跳算法优化PID参数  

Weight improved shuffled frog leaping algorithm to optimize the parameters of PID

作　　者：刘悦婷[1] 

机构地区：[1]兰州文理学院电子信息工程学院,兰州730010

出　　处：《工业仪表与自动化装置》2014年第2期7-10,共4页Industrial Instrumentation & Automation

基　　金：甘肃省自然科学基金项目(1112RJZA028);兰州文理学院科研能力提升计划一般项目(2012YBTS04)

摘　　要：针对非线性、大延迟、时变的控制系统,传统的PID控制效果不理想,为此提出用蛙跳(shuffled frog leaping algorithm,SFLA)仿生优化算法整定PID参数,但传统蛙跳算法易陷入局部最优,收敛速度慢,因此提出权重改进的蛙跳算法(weight improved shuffled frog leaping algorithm,WISFLA)。该算法引入线性递减惯性权重修正最差青蛙的更新策略,可以平衡算法的全局搜索和局部搜索。通过两个经典控制系统的仿真测试,结果表明,WISFLA算法可以平衡算法的全局搜索和局部搜索,比SFLA和PSO(particle swarm optimization)的寻优能力强,迭代次数少,更适合PID参数的整定优化。For the nonlinear,large delay,time-varying control system,conventional PID control result is not satisfactory. So PID self-turning based on SFLA（ shuffled frog leaping algorithm） is presented. But because of the problems of SFLA such as local optimality and slow convergence rate. Therefore we propose a weight improved shuffled frog leaping algorithm. In this algorithm,which introduce the linear decreasing adaptive inertia weight to correct the poor frog update strategy can balance the global search and local search. The simulation results of experiments on two classical control system show that compared with the SFLA and PSO （ particle swarm optimization ） , the WISFLA can balance the global search and local search,and its optimization ability would be stronger,the number of iterations less,more suitable for the tuning of the PID parameters optimization.

关 键 词：PID参数 蛙跳算法 惯性权重 最优解 SFLA(shuffled FROG leaping algorithm) 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]