两级化学反应器系统的量化比例积分跟踪控制

IF 1.9 4区 工程技术 Q3 ENGINEERING, MECHANICAL
Sakthivel Rathinasamy, Priyanka S, Shobana N, Mohanapriya S
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引用次数: 0

摘要

本文关注的是两级化学反应器系统的比例积分跟踪控制问题,该系统受到时间延迟、干扰、不确定性和输入量化的影响。在这项工作中,一个改进的等效输入干扰估计器被纳入比例积分跟踪控制系统,以补偿所处理模型中的干扰。此外,为了尽量减少控制网络中的通信拥塞,在设计控制器时考虑了量化控制输入信号。此外,通过使用非对称 Lyapunov-Krasovskii 函数和 Jensen 积分不等式,以线性矩阵不等式的形式建立了所处理系统的稳健稳定性条件。此外,还根据推导条件确定了控制和观测器增益矩阵。最后,还提供了一个数值示例来证明所提控制方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantized Proportional-Integral Tracking Control for Two-Stage Chemical Reactor Systems
This paper is concerned with the problem of proportional-integral tracking control of a two-stage chemical reactor system subject to time-delays, disturbances, uncertainties and input quantization. In this work, an improved equivalent-input-disturbance estimator is incorporated to the proportional-integral tracking control system to compensate the disturbances in the addressed model. Moreover, to minimize the communication congestion in the control networks, the quantized control input signals is considered while designing the controller. Further, a robust stability condition for the addressed system is established in the form of linear matrix inequalities by employing asymmetric Lyapunov-Krasovskii functional together with Jensen's integral inequalities. Moreover, in accordance with the derived conditions, the control and observer gain matrices are determined. Finally, a numerical example is provided to demonstrate the validity of the proposed control scheme.
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来源期刊
CiteScore
4.00
自引率
10.00%
发文量
72
审稿时长
6-12 weeks
期刊介绍: The purpose of the Journal of Computational and Nonlinear Dynamics is to provide a medium for rapid dissemination of original research results in theoretical as well as applied computational and nonlinear dynamics. The journal serves as a forum for the exchange of new ideas and applications in computational, rigid and flexible multi-body system dynamics and all aspects (analytical, numerical, and experimental) of dynamics associated with nonlinear systems. The broad scope of the journal encompasses all computational and nonlinear problems occurring in aeronautical, biological, electrical, mechanical, physical, and structural systems.
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