基于PID的张力计校准装置张力稳定性控制研究

Study on tension stability control of tensionometer calibration device based on PID

针对传统张力计校准装置存在张力控制精度较低,导致张力稳定性控制效果不佳的问题,结合BP模糊神经网络的特点,设计一个基于PID控制方法的张力计校准装置张力稳定性控制系统。首先,对软式传动系统钢索张力调节器的工作原理进行分析;然后基于BP神经网络和PID控制器,搭建一个牵引绞车数学模型;最后基于构建模型实现牵引绞车准确控制。仿真结果表明,对传统的PID控制、模糊PID控制器和提出的BP模糊神经网络PID控制器分别从第2 s开始每4 s施加500 N的干扰力后,BP模糊神经网络PID控制器的反应速度最快,所用时间最短,说明该控制器的反应速度和稳定性能更强,可实现张力计校准装置张力稳定性有效控制,具备一定的可行性。

A in view of the problem of low tension control accuracy and poor tension stability control system,a system based on the control method of PID.First,the design of the soft transmission system is optimized and the working principle of the cable tension regulator is analyzed;then build a traction winch mathematical model based on BP neural network and PID controller;finally realize the accurate control of the traction winch based on the construction model.The simulation results show that for the traditional PID control,fuzzy PID controller,the PID controller is the fastest,indicating that the reaction speed and stability of the tension stability of the tension gauge device calibration can be feasible.