Intelligent Control of Double Axis Voice Coil Motor Drive System Based on Neural Network
In the double axis or multi axis drive servo system,the dynamic characteristics of each axis were coupled with each other,which seriously affected the positioning accuracy and contour accuracy of the plat-form.However,the traditional control method had a large amount of computation and it was difficult to find the optimal value.Therefore,an intelligent control strategy based on neural network was improved in this pa-per,it was on the basis of a cross-coupled controller based on setting forward compensation.It used S func-tion to realize the online adjustment of neural network and the automatic adjustment and optimization of pa-rameters.It changed the learning speed of the system,enhanced its adaptive ability,simplified the operation complexity,and realized the intelligent tracking control of the system.Carried on the simulation with the Matlab software to the method in this paper,and carried on the comparison with the other methods,finally indicated that the improved method has the very good effect in reducing contour error and improving positio-ning accuracy,has experimentally verified the validity and effectiveness of the control strategy.
万方数据
维普
