Discrete FIR filter-based Control

IF 6.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2025-02-01 DOI:10.1016/j.isatra.2024.12.032
John Cortés-Romero , Brian Gómez-León , Hebertt Sira-Ramírez
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Abstract

In control system design, managing measurement noise is a critical challenge, requiring a balance between responsiveness and noise suppression. Traditional methods often involve trade-offs, compromising either aspect. This paper proposes a novel solution by integrating a Finite Impulse Response (FIR) filter within the discrete controller transfer function, coupled with disturbance rejection through the Internal Model Principle (IMP). This approach decouples tracking reference dynamics from noise attenuation, ensuring precise disturbance rejection and reference tracking. Numerical analysis highlights significant immunity to high-frequency noise compared to established methods. Practical feasibility is demonstrated through two experimental validations: implementation on a Programmable Logic Controller (PLC) and robustness testing with a DC–DC boost converter in a high-noise environment, underscoring its applicability in real-world industrial scenarios.
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基于离散FIR滤波器的控制
在控制系统设计中,控制测量噪声是一个关键的挑战,需要在响应性和噪声抑制之间取得平衡。传统的方法通常涉及折衷,在任何方面都妥协。本文提出了一种新颖的解决方案,即在离散控制器传递函数中集成有限脉冲响应(FIR)滤波器,并通过内模原理(IMP)进行干扰抑制。该方法将跟踪参考动态与噪声衰减解耦,确保精确的干扰抑制和参考跟踪。与现有方法相比,数值分析突出了对高频噪声的显著免疫。实际可行性通过两个实验验证:在可编程逻辑控制器(PLC)上的实现和在高噪声环境下的DC-DC升压转换器的鲁棒性测试来证明,强调了其在实际工业场景中的适用性。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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