通过 TCV 执行器实现离心压缩机浪涌滑模控制的非线性扰动观测器

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Nima Rabiee Roudsari , Mohammad Ataei , Hamid Reza Koofigar , Allahyar Montazeri
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引用次数: 0

摘要

浪涌是一种动态不稳定现象,是流体流动中的一种不稳定形态,会导致流量和压力参数的波动,从而严重影响离心压缩机的性能。由于浪涌可能会对石化厂等各种工业流程造成严重和代价高昂的损害,因此有必要设计一种适当的控制系统来减少这种现象的影响。本研究探讨了在压缩机参数不确定以及上下游负载需求较大的情况下,利用节流控制阀(TCV)对离心式压缩机进行主动浪涌控制的问题。控制目标是设计一种稳健的控制系统,能够在不知道不确定性和负载需求上限的情况下,在较宽的运行范围内稳定压缩机。控制器还应在控制输入不饱和的情况下产生平滑的控制信号,从而做出快速反应。这些目标可通过设计滑模控制器和非线性干扰观测器来实现。在各种运行和负载条件下,对所提出的基于扰动观测器的控制器的性能进行了评估,并将结果与模糊 1 型、传统滑动模式和基于小波的神经网络鲁棒自适应控制器进行了比较。结果表明,所提出的方法可以在不知道入射扰动上限值的情况下,对下游压力和上游质量流量都能承受较大的扰动,这在实际应用中是非常理想的。比较研究利用各种性能指标证明了所提方法的有效性。研究还证实,在匹配和不匹配干扰以及模型不确定性面前,特别是在接近不稳定边界时,所提出的方法具有卓越的鲁棒性能和稳定性。虽然选择 TCV 执行器简化了控制系统的设计,但还是仔细研究了压缩系统不同工作范围下控制阀对流量系数和零点校准的敏感性,并为用户提供了一些建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A nonlinear disturbance observer for sliding mode control of surge in centrifugal compressors via TCV actuator

Surge is a form of dynamic instability created as an unstable pattern in the flow of fluid and can severely affect centrifugal compressor performance by causing fluctuations in flow and pressure parameters. Due to the heavy and costly damage that the surge may cause in various industrial processes such as petrochemical plants, it is necessary to design an appropriate control system to reduce the effect of this phenomenon. The problem of active surge control of a centrifugal compressor using the throttle control valve (TCV) in the presence of compressor parametric uncertainties as well as large demands on upstream and downstream loads is investigated in this work. The control objective was to design a robust control system that can stabilize the compressor over a wide operating range without knowing the upper bound for the uncertainties and load demand. The controller should also react quickly by generating a smooth control signal without saturating the control input. These objectives are achieved by designing a sliding mode controller along with a nonlinear disturbance observer. The performance of the proposed disturbance observer-based controller is evaluated under various operational and load conditions and the results are compared against fuzzy type 1, conventional sliding mode, and wavelet-based neural network robust adaptive controllers. The results show that the proposed method can tolerate large disturbances without any knowledge on the upper bound of the incident disturbance, both on the downstream pressure and upstream mass flow which is highly desirable in practice. The comparative study proves the efficacy of the proposed method using various performance measures. The study also confirms the superior robust performance and stability of the proposed method in front of matched and mismatched disturbances as well as model uncertainties especially close to the instability boundary. Although choosing a TCV actuator has made the control system design easier, the sensitivity of the control valve to flow coefficient and zero calibration under different operating ranges of the compression system is studied carefully and some recommendations for the users are provided.

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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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