一类间歇式反应釜温度控制方法

针对反应釜内温度在反应釜反应过程控制中的重要性,运用神经网络、专家控制系统、模糊控制系统进行了系统温度控制,与反应物料无关,实现了对反应釜温度的准确控制。经过对两例反应物对象的模拟仿真,运用主体神经网络的运算,同时利用专家系统经初始状况对系统初始化,并利用模糊控制系统对系统优化给予加速。系统仿真结果表明,该系统控制范围广、控制稳定性好,是一种提高反应釜控制效果的有效方法。

Novel algorithm in the control of batch reactor's temperature

In order to improve the control of reactor through the temperature,neural networks,expert control technology,fuzzy control technology was used to control it.It has nothing to do with the reaction of materials,and achieved a temperature of the reactor accurate control.Though the simulations to 2 controlled plants,it used the mainstructure of neural networks,and its initial value selector is expert control System.It uses fuzzy control technology to update the algorithm's learning rate.The simulations proved that this approach is effective for improving the performance of the temperature's control system of batch reactor.