基于GWO和粒子群优化的耦合水箱相互作用水位控制系统数学建模

Q4 Mathematics
Hafiz Shaikh Hafiz, Neelima Kulkarni, Mayuresh Bakshi
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引用次数: 0

摘要

在原料药生产行业中,精确的水位控制是一个主要的争议。在初始阶段观察到生产损失,直到水位达到所需水平。然而,制药行业可以赚取更多的利润,如果他们能保持精确的水位控制在生产的初始阶段。为了以最佳的性能参数精确同步水位,本文引入了粒子群算法(PSO)和灰狼算法(GWO)。通过确定数学模型,可以实现多输入多输出系统的桥式水箱的水比例(水位)控制方法。系统辨识的第一步是观察系统的开环响应。这可以通过分析耦合油箱的实际参数来处理。详细解释了耦合储罐的状态空间分析及其转化为传递函数的过程。本文讨论了计算所需的固有参数。使用matlab作为观察响应的平台。从PID控制器的观察表明,需要一个更好的控制器来提高性能。本文对其性能进行了分析,并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Modeling of coupled tank interacting system for controlling water level using GWO and PSO optimization
In bulk drug production industries water level control at a precisepoint is a major dispute. Loss in production at the initial stageis observed until the water level reaches desired level. Pharmaceuticalindustries can however earn more profit if they could maintainprecise water level control at the initial stage of production. To synchronizethe water level precisely having best performance parameters,this work introduces Particle Swarm Optimization (PSO) and GreyWolf Optimization (GWO). By determining the mathematical model,the method for water proportion (level) control in the bridged tanksfor the MIMO system may be accomplished. The prior step for systemidentification is by observing the open-loop response of the system.This can be processed by analyzing the actual parameters of the coupledtank. State-space analysis of coupled tanks is explained in detailalong with its conversion into transfer function. In this paper, theinherent parameters required for the calculation are discussed. MATLABis used as the platform for observing the responses. Observationsfrom the PID controller articulate that, there is a need for a better controllerto enhance the performance. Performance analysis along withits discussion is conferred in this paper.
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来源期刊
CLEI Electronic Journal
CLEI Electronic Journal Computer Science-Computer Science (miscellaneous)
CiteScore
0.70
自引率
0.00%
发文量
18
审稿时长
40 weeks
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