quanti

所属分类:数值算法/人工智能
开发工具:matlab
文件大小:2KB
下载次数:108
上传日期:2011-06-28 09:00:16
上 传 者SUMMER2018
说明:  仿真曲线可以看出,神经网络PID和模糊PID的响应速度比常规PID控制快,而且系统的调整时间很短,没有超调。神经网络PID与模糊PID的控制效果相同,都能在极短的时间内,消除偏差,快速地克服偏差的影响,改善了系统动态特性,因此说明神经网络PID和模糊PID对锅炉汽包水位的控制效果要优于常规PID控制。
(Simulation curve can be seen, PID and fuzzy PID neural network response speed faster than the conventional PID control, and adjust the system time is very short, there is no overshoot. PID and fuzzy neural network PID control has the same effect, can in a very short period of time, to eliminate bias, and quickly overcome the effects of bias and improve the system dynamics, So the neural network PID and fuzzy PID of the boiler drum water level control more effective than the conventional PID control.)

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quanti.m (6769, 2011-05-19)

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