將模糊控制理論應(yīng)用于凍干試驗(yàn)機(jī)的溫度控制系統(tǒng)中，有助于提高溫度響應(yīng)曲線的
跟隨性及加快反應(yīng)時(shí)間，從而可以提高溫度的控制精度。通過PID 控制與參數(shù)自適應(yīng)模糊PID 控制的對比的MATLAB 仿真實(shí)驗(yàn)，獲得了調(diào)節(jié)時(shí)間有明顯改善的參數(shù)自適應(yīng)模糊PID 控制器算法；對真空冷凍試驗(yàn)機(jī)系統(tǒng)的近似模型進(jìn)行了定量分析，并結(jié)合實(shí)踐經(jīng)驗(yàn)，給出了模型的數(shù)學(xué)表達(dá)式。應(yīng)用新研制的控制器算法,對具有非線性、大滯后特征的凍干試驗(yàn)機(jī)溫度系統(tǒng)具有很好的控制作用，彌補(bǔ)了傳統(tǒng)的PID 控制的不足。
關(guān)鍵詞：真空冷凍干燥 溫度控制 自適應(yīng)模糊PID 控制
Abstract: Applied fuzzy control theory to temperature control system of dry-out test machine, it’s useful improving following in agreement with curvilinear of respondent to temperature and accelerating respondent time, then the better control precision will be get. Compared PID control with adaptive fuzzy PID control by Matlab simulation, it prove that the arithmetic of adaptive fuzzy PID control has better performance in improving adjusting time. The model of mathematics is presented by quantitative analysis for approximate model of vacuum refrigeration test machine and practical experiments. Using new arithmetic, we can perfectly control temperature of dry-out machine, especially machine of non-linear and big lagging characteristic, and improve performance of traditional control machine.
Keywords: vacuum freeze-dry, temperature control, adaptive fuzzy PID