Chaos Prediction of Motor System Based on WOA-ESN

doi:10.19596/j.cnki.1001-246x.8442

Abstract

Kai-ge LIU, Du-qu WEI. Chaos Prediction of Motor System Based on WOA-ESN[J]. Chinese Journal of Computational Physics, 2022, 39(4): 498-504.

Figures/Tables 9

References 24

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Method	MSE	Time/s
ESN	4.45 × 10^-2	31
PSO-ESN	9.89 × 10^-3	957
WOA-ESN	5.23 × 10^-3	796

Method	MSE	Time/s
ESN	4.45 × 10^-2	31
PSO-ESN	9.89 × 10^-3	957
WOA-ESN	5.23 × 10^-3	796

Chaos Prediction of Motor System Based on WOA-ESN

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随机初始化每个鲸鱼的位置X_i(i = 1, 2, …, n)
标出鲸鱼的最佳位置
X^*=最佳的搜索代理
while (t＜最大迭代次数)
对于每个搜索代理
计算a, A, C生成l，并运行ESN程序以计算每个鲸鱼的每个鲸鱼的适应性
if 1 (p＜0.5)
if 2 (\|A\|＜1)
更新当前搜索代理的位置公式(2)
else if 2 (\|A\|≥1)
选择一个随机搜索代理(X_rand)
更新当前搜索代理的位置公式(9)
end if 2
else if 1 (p ≥ 0.5)
更新当前搜索代理的位置公式(5)
end if 1
end for
检查是否有搜索代理进入搜索空间，并对其进行修改。
如果有更好的方案更新X^*
迭代次数加1
end while
返回X^*

随机初始化每个鲸鱼的位置X_i(i = 1, 2, …, n)
标出鲸鱼的最佳位置
X^*=最佳的搜索代理
while (t＜最大迭代次数)
对于每个搜索代理
计算a, A, C生成l，并运行ESN程序以计算每个鲸鱼的每个鲸鱼的适应性
if 1 (p＜0.5)
if 2 (\|A\|＜1)
更新当前搜索代理的位置公式(2)
else if 2 (\|A\|≥1)
选择一个随机搜索代理(X_rand)
更新当前搜索代理的位置公式(9)
end if 2
else if 1 (p ≥ 0.5)
更新当前搜索代理的位置公式(5)
end if 1
end for
检查是否有搜索代理进入搜索空间，并对其进行修改。
如果有更好的方案更新X^*
迭代次数加1
end while
返回X^*