监督模糊神经网络控制系统

设计了一个监督模糊神经网络（FNN）控制系统，它可以跟踪周期输入信号，控制系统由永磁（PM）同步伺服电机以及监督FNN位置控制系统组成。监督FNN控制系统由监督控制器和FNN滑式控制器组成。监督控制器可以在指定区域内稳定系统的状态。FNN滑式控制器由滑式控制和FNN组成，滑式控制有较好鲁棒性。FNN具有在线学习能力，作者对监督FNN控制系统进行了详细的理论分析和稳定性研究。仿真结果证明了此系统对参数变化和外部负荷干扰有很好的鲁棒性。

Fuzy Neural Network Control System

We designed a supervisory fuzzy neural network (FNN) control system to tracked peridic reference input. The control system consists of a synchronous servomotor drive with a supervisory FNN position controller. The supercisory FNN controller comprises a supervisory controller, which a designed to stabilize the system states around a defined boundary region, and a FNN aliding mode controller, which combines the advantages of the sliding mode with robust characterristics and the FNN with online learning ability. The theoretical and stability analyses of the supervisory FNN controller are discussed in detail. Simulation result shows that the control system is robust with regard to plant parameter variations and external load disturance.