基于自抗扰逆估计算法的机载雷达稳定平台抗扰控制

IF 1.9 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Dongni Mei, Zhuzheng Yu
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引用次数: 4

摘要

目的研究一种抗干扰控制器,提高机载雷达稳定平台的抗干扰能力和位置跟踪性能,保证合成孔径雷达成像的稳定性和清晰度。本研究提出一种基于自抗扰控制(ADRC)逆估计算法的机载雷达稳定平台抗扰控制方案。利用扩展状态观测器(ESO)的特性,开发了一种逆扩展状态观测器来逆估计平台系统的未建模状态和扩展状态,即总扰动,极大地提高了扰动的估计性能。然后,基于ESO逆结果,将跟踪微分器输出与ESO逆结果的差值反馈给非线性状态误差反馈控制器(NLSEF),以消除总扰动的影响,保证机载雷达稳定平台的稳定性。通过仿真实验比较了ADRC反估计算法与比例积分导数控制器的性能,比例积分导数控制器是平台系统中应用最广泛的控制方案之一。此外,还对经典自抗扰算法进行了比较。结果表明,当机载雷达稳定平台中存在干扰时,特别是在某些恶劣空气条件下受到连续气流干扰时,ADRC反估计算法具有较好的抗干扰性能。本文的创新之处在于利用ESO特性开发了一种逆ESO,极大地提高了对扰动的估计性能。应用自抗扰逆估计算法,提高了机载雷达稳定平台的抗干扰能力,特别是在复杂空气条件下抑制连续干扰的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disturbance rejection control of airborne radar stabilized platform based on active disturbance rejection control inverse estimation algorithm
Purpose This paper aims to study a disturbance rejection controller to improve the anti-interference capability and the position tracking performance of airborne radar stabilized platform that ensures the stability and clarity of synthetic aperture radar imaging. Design/methodology/approach This study proposes a disturbance rejection control scheme for an airborne radar stabilized platform based on the active disturbance rejection control (ADRC) inverse estimation algorithm. Exploiting the extended state observer (ESO) characteristic, an inversely ESO is developed to inverse estimate the unmodeled state and extended state of the platform system known as total disturbances, which greatly improves the estimation performance of the disturbance. Then, based on the inverse ESO result, feedback the difference between the output of the tracking differentiator and the inverse ESO result to the nonlinear state error feedback controller (NLSEF) to eliminate the effects of total disturbance and ensure the stability of the airborne radar stabilized platform. Findings Simulation experiments are adopted to compare the performance of the ADRC inverse estimation algorithm with that of the proportional integral derivative controller which is one of the mostly applied control schemes in platform systems. In addition, classical ADRC is compared as well. The results have shown that the ADRC inverse estimation algorithm has a better disturbance rejection performance when disturbance acts in airborne radar stabilized platform, especially disturbed by continuous airflow under some harsh air conditions. Originality/value The originality of this paper is exploiting the ESO characteristic to develop an inverse ESO, which greatly improves the estimation performance of the disturbance. And the ADRC inverse estimation algorithm is applied to ameliorate the anti-interference ability of the airborne radar stabilization platform, especially the ability to suppress continuous interference under complex air conditions.
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来源期刊
Assembly Automation
Assembly Automation 工程技术-工程:制造
CiteScore
4.30
自引率
14.30%
发文量
51
审稿时长
3.3 months
期刊介绍: Assembly Automation publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of assembly technology and automation, and reflecting the most interesting and strategically important research and development activities from around the world. Because of this, readers can stay at the very forefront of industry developments. All research articles undergo rigorous double-blind peer review, and the journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations.
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