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Intelligent predetermined control method for sinusoidal temperature testing on a cylindrical environmental chamber

机译:圆柱形环境室正弦温度测试的智能预定控制方法

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The Intelligent Predetermined Control Method (IPCM) aims to predetermine the requirements of programmed changes in the test chamber, which differentiates from the gain-scheduling PID (GS-PID) control method in accordance with dry and wet bulb temperature errors. The IPCM consists of a scheduling of optimal control path, a determination of the heat and water vapor mass flow rates along the path, an estimation of heat loss from walls of chamber, and a compensation for unexpectedness with a fixed-gain PID controller. In order to verify the feasibility of the sinusoidal temperature test by using the IPCM, a cylindrical test chamber with independent flow loops was designed, and it equips a precise heating system and a variable refrigerant flow (VRF) cooling system with a variable-frequency drive (VFD) compressor. This paper uses process models with nonlinear gain to identify the models of the heating and cooling systems individually. An experiment was performed by using a 5-45 °C sine wave excitation. The results show that the temperature in the chamber closely tracks along the programmed sine wave excitation with less than ±0.25°C of errors in almost entire cycles, which indicates that the IPCM is able to advance the chamber testing into the acceleration test beyond the ordinary step and ramp excitation.
机译:智能预定控制方法(IPCM)旨在确定测试室中程序化更改的要求,该要求与干湿球温度误差引起的增益调度PID(GS-PID)控制方法不同。 IPCM包括最佳控制路径的调度,沿路径的热量和水蒸气质量流量的确定,来自腔室壁的热损失的估计以及使用固定增益PID控制器的意外补偿。为了验证使用IPCM进行正弦温度测试的可行性,设计了具有独立流量环的圆柱形测试室,它配备了精确的加热系统和带有变频驱动器的可变制冷剂流量(VRF)冷却系统(VFD)压缩机。本文使用具有非线性增益的过程模型来分别识别加热和冷却系统的模型。通过使用5-45°C正弦波激励进行实验。结果表明,腔室中的温度沿编程的正弦波激励紧密跟踪,几乎在整个周期内误差均小于±0.25°C,这表明IPCM能够将腔室测试推进到加速度测试中,超越普通水平步进和斜坡激励。

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