【摘要】 设计了一种将参数化小脑模型(P-CMAC)神经网络与传统PID控制器相结合的纤维张力控制系统.P-CMAC神经网络的输出在作用于被控过程的全部信号中占很大比例,而传统PID控制器则作为用于减少轨迹跟踪误差的补偿器来使用.实验结果确认其能提高控制精度.更多还原

【Abstract】 The control scheme which combines the P-CMAC neural network and traditional PID is adopted to develop a filament tension control system.The output of P-CMAC network dominates the overall control signal,while the output of conventional PID is only used to reduce the trajectory tracking errors.The experimental results show that more stable and accurate tension can be obtained.更多还原