改进模糊PID的称重式包装机智能控制

针对称重式包装机称重控制系统存在非线性、时变、时滞的特性,导致称重精度低、稳定性差的问题,在传统模糊PID控制算法的基础上,引入模糊变量论域伸缩因子,提出域伸一种改进模糊PID算法。设计变量论缩因子使模糊变量论域跟随称重误差及误差率的变化而伸缩调整,将模糊变量论域调整为最佳范围,以避免因变量论域不恰当而引起的控制误差。利用改进模糊控制算法对PID参数进行在线整定,以实现称重控制系统高效、精确、稳定的控制效果。仿真结果表明改进模糊PID控制算法具有超调量小、响应速度快、抗干扰能力强的优点,该控制算法能够有效提升包装机称重效率和称重精度。

Intelligent Control of Weighing Packaging Machine Based on Improved Fuzzy PID

With respect to the non-linear,time-varying and time-delay characteristics of weighing control system of weighing packaging machine,which leads to low accuracy and poor stability of weighing,an improved fuzzy PID algorithm was proposed by introducing the universe scaling factor of fuzzy variables on the basis of traditional fuzzy PID control algorithm.First,the scaling factor of the variable universe was designed to make the fuzzy variable universe follow the change of weighing error and the error rate to lengthen and reduce,so that the fuzzy variable universe is the best scope.This method can avoid the control error caused by inappropriate domain of dependent variables.Then the improved fuzzy control algorithm was used to tune the PID parameters on-line to achieve the high-efficiency,accurate and stable control effect of the weighing control system.The simulation results show that the improved fuzzy PID control algorithm has the advantages of small overshoot,fast response speed and strong antiinterference ability.The control algorithm can effectively improve the weighing efficiency and accuracy of the packaging machine.