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作 者:轩建举 李艳 XUAN Jian-ju;LI Yan(Xuchang Electric Vocational College,Xuchang 461000,China)
机构地区:[1]许昌电气职业学院
出 处:《包装工程》2019年第15期214-218,共5页Packaging Engineering
摘 要:目的为了更加高效地提高热收缩包装机在机械节能控制方面的稳定性,优化控制器的控制性能。方法在充分研究ARM Cortex-M3核心控制器LPC1500的基础上,利用嵌入式环境进行热收缩包装机的机械节能控制器硬件的开发,包括A/D采集模块、信息采集模块以及驱动执行模块等,结合模糊Smith在反馈调节上的优点,提高节能控制性能,再建立机械节能控制的控制器的约束参量的数学模型,进行机械节能方面的深入研究。结果实验测试结果表明,采用模糊Smith设计的预估器性能更加良好,热收缩包装机节能控制可靠性高,并且能够降低包装机在能量方面的消耗。结论在热收缩包装机控制方面采用的策略具有优化节能效果,具有广阔的市场应用前景。The work aims to improve the stability of thermal shrinkage packaging machine in mechanical energy saving control and optimize the control performance of the controller more efficiently.On the basis of fully studying the ARM Cortex-M3 core controller LPC1500,the hardware of the mechanical energy saving controller of the thermal shrinkage packaging machine was developed with embedded environment,including A/D acquisition module,information acquisition module and drive execution module,etc.In combination with the advantages of fuzzy Smith in feedback regulation,the energy saving control performance was improved,and then the mathematical model of the constraint parameters of the controller for the mechanical energy saving control was established to conduct in-depth research on mechanical energy saving.The experimental test results showed that,the performance of the predictor designed by fuzzy Smith was better,the energy saving control reliability of the thermal shrinkage packaging machine was high,and the energy consumption of the packaging machine could be reduced.The strategy adopted in the control of thermal shrinkage packaging machine has the advantages of optimizing the energy saving effect and has a broad market application prospect.
分 类 号:TB486.3[一般工业技术—包装工程]
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