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针对纤维张力控制,提出了重锤式结构张力控制系统,利用重锤位置变化、加速度及张力三者之间的关系为理论依据,将控制加速度作为控制对象,进而可以针对张力进行预期调整。系统以运动控制器为核心、交流伺服电机为执行元件、位置传感器为检测元件,构成闭环控制系统,同时采用模糊自适应PID算法为控制策略,通过传感器采集位置信息,利用位置偏差、速度及加速度信息,进行模糊运算处理、整定,进而得到优化的PID参数传送给运动控制器实施张力控制,本文也针对传统PID与模糊自适应PID做了对比实验,论证了模糊自适应PID控制的更优性。
According to the fiber tension control, a heavy hammer structure tension control system is put forward. Based on the relationship between the weight position, acceleration and tension, the control acceleration is taken as the control object, and the tension can be adjusted accordingly. The system takes the motion controller as the core, the AC servo motor as the executive component and the position sensor as the detecting component to form the closed-loop control system. At the same time, the fuzzy adaptive PID algorithm is adopted as the control strategy, and the position information is collected by the sensor. The position deviation, speed and acceleration Information, fuzzy operation, tuning, and then get the optimal PID parameters transmitted to the motion controller implementation of tension control, this article also for the traditional PID and fuzzy adaptive PID control experiments demonstrated that the fuzzy adaptive PID control more optimal .