研究了兩類用于時(shí)滯系統(tǒng)控制的方法，即包括自整定PID 控制、Smith 預(yù)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(luò)控制和模糊神經(jīng)網(wǎng)絡(luò)控制在內(nèi)的智能控制方法，經(jīng)過比較后認(rèn)為經(jīng)典控制結(jié)構(gòu)簡單、可靠性及實(shí)用性強(qiáng)，而智能控制則具有自適應(yīng)性和魯棒性好，抗干擾能力強(qiáng)的優(yōu)勢，因而將這兩種控制方法結(jié)合起來是控制時(shí)滯系統(tǒng)有效實(shí)用的方法，具有很好的應(yīng)用前景。
關(guān)鍵詞：時(shí)滯系統(tǒng)，Smith 預(yù)估控制，模糊神經(jīng)網(wǎng)絡(luò)
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