基于RBF神经网络的伺服系统模型参考自适应控制

A Model Reference Adaptive Control Strategy Based on RBF Neural Network for Servo-system

为进一步提高控制质量,提出一种RBF神经网络模型参考自适应控制策略,设计出伺服系统的控制方法,并给出RBF神经网络辨识模型参数的学习过程.仿真结果表明采用该策略控制效果良好,完全满足控制要求.

A RBF network model reference adaptive control strategy is proposed in order to further improve control quality. The control method of servo-system is designed. Moreover, the learning process of RBF neural net-work identification model parameters is given. The simulation results show that the proposed strategy has excellent effect and can meet the requirements of control entirely.