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Predictive-Adaptive Temperature Control of Molten Glass

机译:熔融玻璃的预测自适应温度控制

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Control of molten glass temperature is a difficult problem due to the long response times, non-linear characteristics of the combined heat/cool actuators, changes in the physical properties of glass as a function of temperature, and changes in production rates. The existing PID temperature controllers required frequent re-tuning to provide acceptable control of the glass temperature.Installation of an advanced predictive -adaptive controller has demonstrated that significant performance improvements could be achieved compared to the PID based control system. The time required for the glass temperature to settle following set point changes or production rate pull changes has been typically reduced by 50 percent with the adaptive controller. Resultant increases in production of on-spec containers of 27 percent above standard pack have been achieved during the past 2 years for common containers and production increases as high as 40 percent above standard pack have been observed for some specialty containers.The ability of the dynamic modeling technology-based adaptive controller to learn the process and feed forward variable behavior automatically and continuously ensures optimum performance at all times. The problems of long development time, long setup time, repeated tuning and poor reliability associated with ot6her advanced controllers such as Smith Predictor and other model-based controller designs are solved with this method. The adaptive controller has resulted in a significant reduction in maintenance as it does not require the frequent re-tuning necessary for the PID based control system.The superior performance of this adaptive controller reduces process variability and enables the potential quality improvement benefits of supervisory and statistical process control systems to be realized. In addition, the cascade effects of many small improvements provided by tighter control on individual loops can improve the complete process or plant substantially. The DMT control approach is a new tool available to the process control engineer to economically implement the continuous improvement concepts advocated by Deming (2) and Juran (3) in their Total Quality philosophies.
机译:由于长的响应时间,组合的热/冷致动器的非线性特性,玻璃的物理性质随温度的变化以及生产率的变化,控制熔融玻璃的温度是一个难题。现有的PID温度控制器需要频繁地重新调整以提供可接受的玻璃温度控制。安装先进的预测自适应控制器证明,与基于PID的控制系统相比,可以实现显着的性能改进。使用自适应控制器后,玻璃温度在设定点变化或生产率拉动变化后稳定所需的时间通常减少了50%。在过去的两年中,普通集装箱的合格集装箱产量最终实现了比标准包装高27%的增长,而某些特种集装箱的产量也比标准包装高出40%。基于建模技术的自适应控制器来学习过程并自动连续地反馈变量行为,并始终确保最佳性能。用这种方法解决了与高级控制器(例如Smith Predictor)和其他基于模型的控制器设计相关的开发时间长,设置时间长,反复调整以及可靠性差的问题。由于自适应控制器不需要基于PID的控制系统进行频繁的重新调整,因此可显着减少维护工作。该自适应控制器的卓越性能降低了过程可变性,并带来了潜在的质量改进监控和统计优势过程控制系统得以实现。此外,通过对单个回路进行更严格的控制可以提供许多小改进的级联效果,从而可以显着改善整个过程或工厂。 DMT控制方法是过程控制工程师可用的一种新工具,可以经济地实施Deming(2)和Juran(3)在其全面质量理念中倡导的持续改进概念。

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