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灰色预测模型在冷轧动态张力控制中的应用 被引量:9

Using a Gray Predictive Model for Controlling Dynamic Tension During Cold Rolling
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摘要 针对PID控制器参数保持不变时很难保证轧机架间张力稳定在裕量范围内的问题.在分析轧机辊缝与速度动态张力控制原理的基础上,推导出机架间张力控制对象的数学模型,并利用灰色预测PID控制方法,实现了机架间张力稳定控制.从仿真数据和实际应用结果数据可以得出,此方法对比其他传统PID控制方法,能够有效地保证张力系统较高的动静态控制性能和干扰抑制性能要求,且控制精度更高. Maintaining controlled tension in a cold rolling mill is difficult when parameters in conventional PID controllers are non-variable.By analyzing dynamic tension control theory of roller gap and velocity,a variable parameter PID controllers were designed.Using the grey predictive PID control to enhance stability and precision of the tension control,the simulation and application experiments results indicated that system dynamic response performance and disturbance depression was significantly enhanced.The system has more favorable characteristics over conventional PID controllers.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第5期614-617,共4页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目(50604006)
关键词 冷轧 张力控制 辊缝调张法 GM(1 1)模型 灰色预测控制 cold rolling tension control tension-adjusting by roller gap GM(1 1) model gray predictive control
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参考文献10

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