A genetic search approach to unfalsified PI control design for a weigh belt feeder
A genetic search approach to unfalsified PI control design for a weigh belt feeder
复制标题
一种用于皮带称重给料机的防伪 PI 控制设计的遗传搜索方法
DOI：
10.1002/acs.687
复制
发表时间：
2001
影响因子：
3.1
通讯作者：
R. Millett
中科院分区：
文献类型：
--
作者：
E. Collins;Yanan Zhao;R. Millett
本文提出并通过实验演示了一种基于真实控制概念的工业称重皮带给料机的自动 PI 调节方法。这里使用非伪造控制作为一种使用开环或闭环测试数据来识别控制器子集（来自初始集合）的方法，该子集未被证明违反了控制工程师指定的多个目标。不可证伪方法的一个新颖特征是，它允许通过预测控制器的性能而将控制器排除在考虑范围之外，而无需实际将控制器插入循环中。此外，该方法不需要显式模型。然而，在实践中，它确实需要一些闭环实验来确定用于执行反证伪的成本函数。当将真实的 PI 自动调谐方法应用于工业皮带秤给料机时，它能够成功识别满足性能规格的 PI 控制律子集。本文的一个关键特征是使用遗传搜索算法来减少非证伪控制的计算要求，特别是当初始控制器集很大时。版权所有 © 2001 约翰·威利父子有限公司
This paper proposes and experimentally demonstrates an approach to automated PI tuning for an industrial weigh belt feeder that is based on unfalsified control concepts. Unfalsified control is used here as a means of using either open‐ or closed‐loop test data to identify a subset of controllers (from an initial set) that is not proved to violate the multiple objectives specified by the control engineer. A novel feature of the unfalsified approach is that it allows controllers to be eliminated from consideration by predicting their performance without actually inserting the controllers in the loop. In addition, this methodology does not require an explicit model. However, in practice, it does require some closed‐loop experimentation to determine the cost functions used to perform the unfalsification. When the unfalsified PI autotuning approach is applied to the industrial weigh belt feeder, it is able to successfully identify a subset of PI control laws that meets the performance specs. A key feature of this paper is the use of a genetic search algorithm to reduce the computational requirements of unfalsified control, especially when the initial set of controllers is large. Copyright © 2001 John Wiley & Sons, Ltd.