模糊自适应PID控制的恒张力收卷系统研究
发布时间：2019-03-31 08:04
【摘要】：针对真空镀膜机收卷张力控制具有多变量、时滞性、非线性且系统难以建立精确模型的问题,为了降低张力波动,提高收卷张力精度、测试的稳定性,建立收卷恒张力模糊自适应PID系统结构模型。运用模糊推理对参数进行自整定的方法设计了一种二维自适应模糊PID控制器。应用Matlab/Simulink模块实现系统仿真,仿真结果表明模糊自适应PID算法相比常规PID控制具有较强的鲁棒性,良好的动态、静态稳定性。把该控制器运用到现场测试中,测试结果表明该控制器有效地减少了张力波动,提高了镀膜质量。
[Abstract]:In order to reduce the tension fluctuation, improve the precision of rewinding tension and test stability, the tension control of vacuum coating machine is multi-variable, time-delay, non-linear and the system is difficult to establish accurate model, in order to reduce the tension fluctuation, improve the precision of rewinding tension and test stability. A fuzzy adaptive PID system structure model for coiling constant tension is established. A two-dimensional adaptive fuzzy PID controller is designed by means of self-tuning of parameters by fuzzy reasoning. The simulation results show that the fuzzy adaptive PID algorithm is more robust, dynamic and static than the conventional PID control. The simulation results show that the fuzzy adaptive PID algorithm is more robust, dynamic and static than the conventional PID control system based on Matlab/Simulink module. The controller is applied to the field test. The test results show that the controller can effectively reduce the tension fluctuation and improve the coating quality.
【作者单位】： 上海应用技术大学;上海宏昊企业发展有限公司;
【基金】：国家青年自然科学基金(51405304) 上海市联盟计划项目(LM201633)
【分类号】：TP273.4
[Abstract]:In order to reduce the tension fluctuation, improve the precision of rewinding tension and test stability, the tension control of vacuum coating machine is multi-variable, time-delay, non-linear and the system is difficult to establish accurate model, in order to reduce the tension fluctuation, improve the precision of rewinding tension and test stability. A fuzzy adaptive PID system structure model for coiling constant tension is established. A two-dimensional adaptive fuzzy PID controller is designed by means of self-tuning of parameters by fuzzy reasoning. The simulation results show that the fuzzy adaptive PID algorithm is more robust, dynamic and static than the conventional PID control. The simulation results show that the fuzzy adaptive PID algorithm is more robust, dynamic and static than the conventional PID control system based on Matlab/Simulink module. The controller is applied to the field test. The test results show that the controller can effectively reduce the tension fluctuation and improve the coating quality.
【作者单位】： 上海应用技术大学;上海宏昊企业发展有限公司;
【基金】：国家青年自然科学基金(51405304) 上海市联盟计划项目(LM201633)
【分类号】：TP273.4
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