基于三维模型的机电一体化PLC程序系统优化设计的实现

IF 2.4 Q2 ENGINEERING, MECHANICAL

Nonlinear Engineering - Modeling and Application Pub Date : 2023-01-01 DOI:10.1515/nleng-2022-0252

Lili Zhang, Chuan-Jie Zhang, Peng Wang, Mohammad Shabaz, Skanda M. G., Vijayalakshmi C., K. Kishore

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引用次数: 0

摘要

摘要为实现机电程序控制的实用化，对基于可编程控制器(PLC)技术的自动机电控制系统进行优化后，采用模糊控制比例-积分-导数(PID)整定算法建立机电控制系统的三维仿真模型。首先，对机电控制系统的硬件进行了讨论和设计。研究结果证明了基于三维模型的机电一体化PLC程序优化方案的可行性。该系统具有较高的控制和管理效率，比传统系统提高30%。机电一体化制造系统运行效率的持续提高，可以显著降低投资成本，提高工业组织的财务收益。传统系统的控制和管理效率在30%左右，而基于PLC技术并使用3D模型创建的自动机电控制系统的控制和管理效率在60%至70%之间。

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Realization of optimization design of electromechanical integration PLC program system based on 3D model

Abstract A three-dimensional simulation model of the electromechanical control system was built using the fuzzy control proportional–integral–derivative (PID) adjustment algorithm after an automatic electromechanical control system based on programmable logic controller (PLC) technology was optimized to achieve the practical use of electromechanical program control. First, the hardware of the electromechanical control system is discussed and designed. The findings demonstrate the viability of the mechanical and electrical integration PLC program optimization solution based on three-dimensional (3D) model. The system has a higher control and management efficiency, which is 30% greater than that of the conventional system. The mechatronic manufacturing system’s continuous operation efficiency enhancement can significantly lower the investment costs and boost the financial gains of industrial organizations. Traditional systems have a control and management efficiency of around 30%, but automatic electromechanical control systems based on PLC technology and created using 3D models have a control and management efficiency between 60 and 70%.

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来源期刊

Nonlinear Engineering - Modeling and Application Multiple-

CiteScore

6.20

自引率

3.60%

发文量

审稿时长

44 weeks

期刊介绍： The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.