基于彩色Petri网的三罐系统液位控制及实验验证

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of General Systems Pub Date : 2022-06-26 DOI:10.1080/03081079.2022.2086542

M. Brezovan, R. Precup, D. Selișteanu, L. Stanescu

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引用次数: 3

摘要

提出了一种基于彩色Petri网(CPN)的控制方法。在控制系统结构中，CPN被用于对控制器和被控过程的动力学建模。对被控过程的数学模型进行离散化，以便利用CPN对被控过程和控制系统进行建模。所提出的控制器实现了一个摩尔自动机。本文介绍了控制器设计的理论方面，以及系统的可控性方面。考虑了三罐系统的液位控制，以验证所提出的控制器。使用CPN Tools工具进行了广泛的模拟，并包括在实验室设备上的实验结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Colored Petri nets-based control and experimental validation on three-tank system level control

ABSTRACT An approach to the Colored Petri Nets (CPN)-based control is proposed in this paper. CPN are used for modeling the dynamics of both the controller and the controlled process in the control system structure. The mathematical model of the controlled process is discretized in order to use CPN in modeling the controlled process and the control system as well. The proposed controller implements a Moore automaton. The theoretical aspects of the controller design are presented in the paper, as well as aspects of the system controllability. The level control of three-tank systems is considered to validate the proposed controller. Extensive simulations are performed using the CPN Tools tool and experimental results on laboratory equipment are included.

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来源期刊

International Journal of General Systems 工程技术-计算机：理论方法

CiteScore

4.10

自引率

20.00%

发文量

审稿时长

6 months

期刊介绍： International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published. The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.