Electric Atuator Modeling Based on Modified Cuckoo Search(CS) Algorithm

摘要

The paper proposed a modified cuckoo search algorithm by studying the nonlinear modeling problem of electric actuator, and a neural network identification model of actuator is established. The algorithm makes the Levy flight mechanism adaptive by dynamically adjusting the step size. The proposed method is proved to be effective and feasible by simulation experiments and comparison with traditional algorithms. The simulation shows that the modified cuckoo search algorithm which is applied to the actuator modeling, can effectively improve the modeling accuracy and generalization ability.