用同步方法估计非线性系统的时延和模型参数

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of Process Control Pub Date : 2024-05-15 DOI:10.1016/j.jprocont.2024.103234
Benyi Liu, Weifeng Chen
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引用次数: 0

摘要

时间延迟是化学工程中无处不在的现象。在为工艺系统开发实用的严格模型时,时间延迟的影响不容忽视。本研究提出了一种同时估算时间延迟和模型参数的方法。关键问题是如何处理带有时间延迟的状态变量的近似值,该近似值取决于时间延迟除以有限元长度得到的商和余数。本文设计了处理未知商和余数的策略。最后,考虑了两个案例研究。验证了所提方法的有效性。此外,与基于梯度的顺序方法相比,建议的方法表现出更好的性能。
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Time delay and model parameter estimation for nonlinear system with simultaneous approach

Time delay is a ubiquitous phenomenon in chemical engineering. In the development of a practical rigorous model for process system, the influence of time delay cannot be ignored. A simultaneous approach for estimating time delays and model parameters is proposed in this work. The critical issue is how to address the approximation for state variable with time delay, which depends on the quotient and remainder obtained by dividing time delay by length of finite element. The strategies for handling the unknown quotient and remainder are designed. Finally, two case studies are considered. The effectiveness of the proposed approach is verified. Moreover, the proposed approach exhibits better performance compared with the gradient-based sequential approach.

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来源期刊
Journal of Process Control
Journal of Process Control 工程技术-工程:化工
CiteScore
7.00
自引率
11.90%
发文量
159
审稿时长
74 days
期刊介绍: This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.
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