基于模糊小脑模型神经网络的交流伺服系统

An AC Servo System Based on Fuzzy—CMAC

本文针对矢量控制交流伺服系统,提出了一种模糊小脑模型神经网络直接逆控制的方案,给出了较详细的原理分析及实现过程。仿真结果表明,该方法能够明显提高伺服系统的快速跟踪能力,并使系统具有较强的适应性和鲁棒性。

A direct inverse control scheme of FCMAC neural network is presented for vector control AC servo system. The principle analysis and the design realizing process of the system are given in detail. The results of simulation show that the method can obviously improve the servo system’s tracking ability with more adaptability and robustness.