用神经元评判误差的自适应同步控制

Adaptive synchronization control using neuron to estimate errors

在双机耦联自适应前馈同步控制算法中，耦联系数的大小直接影响系统的同步性能．利用神经元模型构造一个非线性同步误差评判单元，通过神经元的自学习功能，对同步误差的补偿量进行自动调节，随着控制次数的增加，同步性能趋于最佳．

in the coupling feedforward adaptive control algorithm of synchronization of dual motor drives,the choice of a coupling coefficient direct affects the synchronization performances of system. In this paper,a nonlinear unit for estimating synchronization errors is developed by using neuron model,by which,the compensation of the synchronization errors can be adjusted on line through the self-study of the neurons. As the increase of the number of control,the synchronization performances tend to be optimum.