针对电脑横机伺服控制中机头定位稳、快、准的要求,分析了横机机头伺服控制系统的工作原理、定位过程和影响因素,建立了机头运动的数学模型,阐述了CMAC小脑模型神经网络的优点,并将其与重复补偿控制相结合,提出一种基于CMAC和重复补偿控制的复合PID控制方法。仿真结果表明,与传统PID控制方法相比,该方法提高了横机机头伺服系统对周期信号的跟踪精度和系统的响应速度,有较高的实用价值。
According to the requirements of steady,fast and correct head positioning in servo control of computerized flat knitter,we analyzed the working principle,positioning process and influence factors of head servo control system of flat knitter,built a mathematic model of head motion,elaborated the advantages of CMAC(cerebellar model articulation controller)and combined it with repetitive compensation control to bring forward a compound PID control method based on CMAC and repetitive compensation control method.Simulation results shows that,compared with the traditional PID control method,the control method improves the flat knitter's head servo system's tracking accuracy of periodic signal and response speed of the system,so it has a a high practicability.