基于自适应遗传算法的舵机传递函数辨识  

Identifining transfer function of actuator based on adaptive genetic algorithm

作　　者：王莉[1] 贾建芳[1] 

机构地区：[1]中北大学信息与通信工程学院,太原030051

出　　处：《电子测试》2012年第3期12-15,共4页Electronic Test

摘　　要：简要介绍了舵机的工作特性,利用自适应遗传算法对舵机传递函数进行了辨识,与传统遗传算法相比,自适应遗传算法的选择算子采用最优保存和赌轮盘相结合,并在进行赌轮盘前对适应度进行排序,交叉变异算子采用自适应交叉和变异算子,终止条件也分为两类,适应度小于设定的值时就会跳出遗传算法和达到代数上限时跳出遗传算法。自适应遗传算法的辨识的结果和遗传算法相比较,仿真结果表明:自适应遗传算法在运行速度和收敛方面有较好的效果。The working characteristics of actuator are briefly introduced, and the transfer function of actuator is identified using adaptive genetic algorithm. Compared with simple genetic algorithm , the optimal preservation and gambling roulette is used as selection operator and sort fitness before selection, and adaptive crossover and mutation operators are used. The termination condition is also divided into two categories, fitness is less than the set value and the generation is achieved. Then adaptive results compares with genetic algorithm , simulation results show that adaptive genetic algorithm based system identification has great advantages of computation speed and convergence property.

关 键 词：舵机传递函数 遗传算法 系统辨识 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] U664.41[自动化与计算机技术—控制科学与工程]