【作者】 陈捷； 王树青； 王宁； 王骥程；

【Author】 Chen Jie Wang Shuqing Wang Ning and Wang Jicheng (Institute of Industrial Process Control Technology. Zhejiang University, Hangzhou 310027)

【机构】 浙江大学工业控制技术研究所；

【摘要】 本文以化工过程重要的设备多侧线精馏塔为对象。对多变量神经网络智能控制器进行研究．包括精馏塔过程与模型。多变量神经网络控制系统及非模型智能控制算法。仿真结果表明,这种新颖的多变量智能控制器能有故地消除多变量间的关联作用,控制品质优良,对过程模型的变化具有很强的鲁棒性,而且控制器结构简单, 可非常方便地应用于复杂的多变量工业过程实时控制。更多还原

【Abstract】 With an example of a distillation tower, the important equipment in chemical industry, this paper gives an investigation into the multivariable intelligent controller using the neural network. Which includes the modle of the plant, the multivariable control systems, and the model -free intelligent control algorithm. The simulation results show that such a novel controller is effective to control the complex chemical processes. Having good performances, strong robustness to the changes of the process model, and simple structure, it is highly convenient to use in practical engineering.更多还原