研究了兩類用于時滯系統(tǒng)控制的方法，即包括自整定PID 控制、Smith 預估控制和大林算法在內(nèi)的經(jīng)典控制方法和包括模糊控制、神經(jīng)網(wǎng)絡控制和模糊神經(jīng)網(wǎng)絡控制在內(nèi)的智能控制方法，經(jīng)過比較后認為經(jīng)典控制結構簡單、可靠性及實用性強，而智能控制則具有自適應性和魯棒性好，抗干擾能力強的優(yōu)勢，因而將這兩種控制方法結合起來是控制時滯系統(tǒng)有效實用的方法，具有很好的應用前景。
關鍵詞：時滯系統(tǒng)，Smith 預估控制，模糊神經(jīng)網(wǎng)絡
Abstract: Two kinds of control methods are mainly researched. One is classical control method, including self-tuning PID control, Smith predictive control and Dahlin algorithm. The other is intelligent control method, including fuzzy control, neural network control and fuzzy neural network control. After comparing, such conclusions are made: Classical control has simple structure, good reliability and practicability. But intelligent control has strong adaptability and robustness, moreover, its performance against disturbance is good. So the combination with these two methods will be effective and significant to control time delay system, and its prospect of application is attractive.
Key words: Time delay system, Smith predictive control, Fuzzy neural network