模糊自適應PID控制的恒張力收卷系統(tǒng)研究
發(fā)布時間:2019-03-31 08:04
【摘要】:針對真空鍍膜機收卷張力控制具有多變量、時滯性、非線性且系統(tǒng)難以建立精確模型的問題,為了降低張力波動,提高收卷張力精度、測試的穩(wěn)定性,建立收卷恒張力模糊自適應PID系統(tǒng)結構模型。運用模糊推理對參數進行自整定的方法設計了一種二維自適應模糊PID控制器。應用Matlab/Simulink模塊實現系統(tǒng)仿真,仿真結果表明模糊自適應PID算法相比常規(guī)PID控制具有較強的魯棒性,良好的動態(tài)、靜態(tài)穩(wěn)定性。把該控制器運用到現場測試中,測試結果表明該控制器有效地減少了張力波動,提高了鍍膜質量。
[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.
【作者單位】: 上海應用技術大學;上海宏昊企業(yè)發(fā)展有限公司;
【基金】:國家青年自然科學基金(51405304) 上海市聯盟計劃項目(LM201633)
【分類號】: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.
【作者單位】: 上海應用技術大學;上海宏昊企業(yè)發(fā)展有限公司;
【基金】:國家青年自然科學基金(51405304) 上海市聯盟計劃項目(LM201633)
【分類號】:TP273.4
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