Design and experimental evaluation of an evolutionary neural-net based PID controller
Design and experimental evaluation of an evolutionary neural-net based PID controller
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基于进化神经网络的 PID 控制器的设计和实验评估
DOI：
10.1109/cca.2002.1040195
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
Toru Yamamoto
中科院分区：
文献类型：
--
作者：
Michiyo Suzuki;Masaru Katayama;Toru Yamamoto
PID控制方案已被广泛用于大多数非线性系统代表的工业过程。本文提出了一种新的基于进化神经网络的PID控制器设计方案，其连接权值采用实数编码的遗传算法进行调整。新提出的控制方案进行了数值模拟的例子，并进行了实验评估中试规模的温度控制系统。
PID control schemes have been widely used for most industrial processes which are represented by nonlinear systems. This paper presents a new design scheme of evolutionary neural-net based PID controllers, whose connection weights are adjusted by using a real-coded genetic algorithm. The newly proposed control scheme is numerically evaluated on a simulation example, and experimentally evaluated on a pilot-scale temperature control system.