基于变尺度优化方法的神经元PID控制及应用

Neuron PID control and application based on DEF method

针对传统PID控制算法的不足 ,利用最优化方法提出一种基于变尺度优化方法的神经元PID控制算法。仿真实验及在伺服电机转速控制中的应用表明 ,该算法具有较快的学习速度及良好的收敛性能,并有效地克服了传统PID算法的缺陷。

In the light of the defects of traditional PID algorithm, a neuron PID control algorithm based on DFP method is proposed.The simulation and motor control show that the new algorithm has fast learning rate,good convergence properties and can overcome the defects of traditional PID algorithm.