可预测不确定条件下基于联想记忆的智能电镀控制系统的开发与分析

D. S. Solovjev
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引用次数: 0

摘要

本文分析了提高镀层均匀性的方法,其中对多品种生产最有希望的是电流控制。将电镀过程作为控制对象,用基于法拉第定律和欧姆定律、拉普拉斯偏微分方程的分布坐标来描述其电流控制的数学模型。由于电镀数学模型的复杂性,实时搜索最优控制是不可能的,并且需要长时间的初步计算。在智能系统中使用联想记忆,可以实时找到与电镀电流状态和指定质量标准(涂层均匀性)相对应的控制。提出了一种基于矩阵型联想记忆的可预测不确定性智能控制系统的知识形成单元运算算法。根据该函数近似的均匀性准则和对给定质量损失的选择来填充联想存储器行。考虑了一种控制器的操作算法,该算法使用与输入变量的归一化值最接近的加权度量的关联存储器行进行控制。提出了一种质量评价单元的运算算法,通过计算输入变量的显著性加权系数来确定输入变量对输出变量的影响,以确定输出变量偏离给定值的非负概率的最大值、极差和最大局部变化值。通过计算实验,从控制搜索时间和镀层均匀性损失两方面分析了所提算法对基于联想记忆的智能电镀控制系统各单元的有效性。
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Development and Analysis of an Intelligent Electroplating Control System Based on Associative Memory under Conditions of Predictable Uncertainty
The analysis of ways to improve the electroplated coating uniformity, among which the most promising for a multiassortment production is the current control, is presented in the article. The electroplating is considered as a control object and its mathematical model is described (with distributed coordinates based on the laws of Faraday and Ohm, Laplace’s partial differential equation) to current control. The search for optimal control is impossible in real time and requires lengthy preliminary calculations due to the complexity of the electroplating mathematical model. The use of associative memory in an intelligent system will make it possible to find a control that corresponds to the electroplating current state and the specified quality criterion (coating uniformity) in real time. An operation algorithm of the knowledge formation unit, which implies the use of an intelligent control system under predictable uncertainty with matrix-type associative memory, is proposed. The associative memory rows are filled based on the uniformity criterion approximation by the function and the choice of its values for given quality losses. An operation algorithm of the controller, which uses the control from the associative memory row with the closest weighted metric to the normalized values of the input variables, is considered. An operation algorithm of the quality assessment unit, which involves determining the influence of input variables on the output variable by calculating their weighting coefficients of significance, to determine the values of which the maximum values, range and maximum local changes are used for the probability of non-negativity of the output variable deviation from its given value, is proposed. A computational experiment was carried out to analyze the effectiveness of the proposed operation algorithms for the units of an intelligent electroplating control system based on associative memory in terms of the control search duration and loss in coating uniformity.
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来源期刊
Mekhatronika, Avtomatizatsiya, Upravlenie
Mekhatronika, Avtomatizatsiya, Upravlenie Engineering-Electrical and Electronic Engineering
CiteScore
0.90
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0.00%
发文量
68
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