This paper considers the problem of optimizing the operation of Indirect Adiabatic Cooling (IAC) systems with application to data centers. Optimal operation is achieved when the required cooling demand is satisfied at the minimum energy cost. For this purpose, we design a supervisory control system, where the higher layer determines the optimal set-points for the local controllers by employing an Extremum Seeking Control (ESC) scheme. In particular, we consider a Newton-like phasor ESC, which augments the derivative estimator underlying the phasor approach to capture also the Hessian of the plant index and then it uses these estimates to steer the system along a Newton-like direction. The effectiveness of the considered approach is tested in simulation by exploiting a Matlab-based simulation environment including an IAC system and a computer room.

中文翻译：

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通过类牛顿相量极值寻求控制的间接绝热数据中心冷却系统的节能运行

本文考虑了优化间接绝热冷却 (IAC) 系统在数据中心应用中的运行问题。当所需的冷却需求以最低的能源成本得到满足时，即可实现最佳运行。为此，我们设计了一个监督控制系统，其中较高层通过采用极值搜索控制 (ESC) 方案来确定本地控制器的最佳设置点。特别是，我们考虑了类牛顿相量 ESC，它增强了相量方法背后的导数估计器，以捕获植物指数的 Hessian，然后它使用这些估计来沿着类牛顿方向引导系统。通过利用包括 IAC 系统和计算机房在内的基于 Matlab 的仿真环境，在仿真中测试了所考虑方法的有效性。