基于混合差分遗传算法的Bouc-Wen迟滞模型辨识策略

提出一种应用于Bouc-Wen迟滞模型的混合差分遗传算法.该算法可以自适应调节缩放因子来改变交叉概率因子的值,同样也可以自动调节交叉概率因子来调整缩放因子的值.通过缩放因子和交叉概率因子的混合作用,能使算法前期维持种群多样性,同时强化对全局最优值的搜索能力,从而快速寻找最适模型参数.在算法后期,随着局部最优值搜索能力的...

Bouc-Wen hysteresis model identification strategy based on hybrid differential genetic algorithm

A hybrid differential genetic algorithm for the Bouc-Wen hysteresis model is presented. The algorithm can adaptively adjust the scaling factor to change the value of the crossover probability factor. Similarly, it is can also automatically adjust the crossover probability factor to change the value of the scaling factor. Through the combination of the scaling factor and the cross factor, it can keep the individuals diversity and improve the searching ability of global optimum in the population at initial generations, as to quickly find the optimal model parameters. Moreover, the search ability of local optimal values can be improved, and the accuracy of the optimal model parameters can be further improved at a later time. The tranditional adaptive differential evolution algorithm is applied to the same Bouc-Wen hysteresis model. The simulation results show that the proposed algorithm not only has faster convergence speed but also has higher computational accuracy.