工业PLC基础快速MPC中控制更新周期监测的实验研究：应用于低温制冷机的受约束控制
Experimental Investigation of Control Updating Period Monitoring In Industrial PLC-based Fast MPC: Application to The Constrained Control of a Cryogenic Refrigerator
AI总结：
本文验证了工业过程中低温制冷机在粒子加速器中受约束控制的控制更新周期在线适应方案，探讨了优化器效率与更新频率的关系及成本函数行为的监控方法。
摘要：
本文提出了一种完整的工业验证方案，用于验证最近发表的在线适应控制更新周期的模型预测控制方案。验证过程中的工业过程是一个用于冷却粒子加速器或实验核反应堆中超导体的低温制冷机。两项最近预测的特性得到验证：第一，有时使用效率较低（每迭代）的优化器比使用更高效但更慢的优化器更好，如果效率的不足被更新控制频率的增加所补偿。第二，对于给定的求解器，基于在线测量的成本函数行为监控控制更新周期是有价值的。
英文摘要：
In this paper, a complete industrial validation of a recently published scheme for on-line adaptation of the control updating period in Model Predictive Control is proposed. The industrial process that serves in the validation is a cryogenic refrigerator that is used to cool the supra-conductors involved in particle accelerators or experimental nuclear reactors. Two recently predicted features are validated: the first states that it is sometimes better to use less efficient (per iteration) optimizer if the lack of efficiency is over-compensated by an increase in the updating control frequency. The second is that for a given solver, it is worth monitoring the control updating period based on the on-line measured behavior of the cost function.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
