機械制漿過程磨機負荷內(nèi)模PI控制
發(fā)布時間:2018-12-12 22:25
【摘要】:針對雙盤磨機在運行過程中具有大滯后、大慣性及非線性等特點,內(nèi)?刂谱鳛橐环N先進控制策略,鑒于其對過程模型精度要求不高等優(yōu)點,提出了一種基于內(nèi)模控制原理的PI控制方法,該方法設計的控制器僅有一個可調(diào)參數(shù),且通過最大靈敏度指標實現(xiàn)其整定,有效避免了控制器整定的復雜性與隨機性.仿真結果表明,與常規(guī)PID控制相比,所提方法可有效減小模型參數(shù)變化及各種干擾對系統(tǒng)性能的影響,滿足機械制漿生產(chǎn)過程對控制器性能的要求,保證磨機安全穩(wěn)定運行,實現(xiàn)了磨機負荷的穩(wěn)定化控制,為機械制漿過程綜合自動化系統(tǒng)的實施奠定基礎.
[Abstract]:In view of the characteristics of large lag, large inertia and nonlinearity in the operation of double-disc mill, the internal model control, as an advanced control strategy, has the advantages that the precision of the process model is not high, and so on. This paper presents a PI control method based on the principle of internal model control. The controller designed by this method has only one adjustable parameter, and the tuning is realized by the maximum sensitivity index, which effectively avoids the complexity and randomness of the controller tuning. The simulation results show that compared with conventional PID control, the proposed method can effectively reduce the influence of model parameters and various disturbances on the performance of the system, meet the requirements of the controller in the process of mechanical pulping production, and ensure the safe and stable operation of the mill. The stabilization control of mill load is realized, which lays a foundation for the implementation of the integrated automation system of mechanical pulping process.
【作者單位】: 東北大學流程工業(yè)綜合自動化國家重點實驗室;
【基金】:國家自然科學基金資助項目(61333007,61473064) 遼寧省教育廳科技項目(L20150186)
【分類號】:TP273;TS74
本文編號:2375336
[Abstract]:In view of the characteristics of large lag, large inertia and nonlinearity in the operation of double-disc mill, the internal model control, as an advanced control strategy, has the advantages that the precision of the process model is not high, and so on. This paper presents a PI control method based on the principle of internal model control. The controller designed by this method has only one adjustable parameter, and the tuning is realized by the maximum sensitivity index, which effectively avoids the complexity and randomness of the controller tuning. The simulation results show that compared with conventional PID control, the proposed method can effectively reduce the influence of model parameters and various disturbances on the performance of the system, meet the requirements of the controller in the process of mechanical pulping production, and ensure the safe and stable operation of the mill. The stabilization control of mill load is realized, which lays a foundation for the implementation of the integrated automation system of mechanical pulping process.
【作者單位】: 東北大學流程工業(yè)綜合自動化國家重點實驗室;
【基金】:國家自然科學基金資助項目(61333007,61473064) 遼寧省教育廳科技項目(L20150186)
【分類號】:TP273;TS74
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