首页|On disturbance rejection proportional-integral-differential control with model-free adaptation

On disturbance rejection proportional-integral-differential control with model-free adaptation

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In this paper,an adaptive disturbance-rejection proportional-integral-differential(PID)control method is proposed for a class of nonlinear systems.First,PID-type criterion is introduced in a model-free adaptive control(MFAC)framework,which gives an optimal control interpretation for PID controller.Then,the design of adaptive disturbance rejection PID is proposed based on this new interpretation to realize controller gain auto-tuning.Due to the ingenious integration of active disturbance rejection and adaptive mechanism,the proposed adaptive disturbance rejection PID control scheme exhibits better control performance than MFAC case.Furthermore,the boundedness of controller gain,the convergence of tracking error and the bounded-input-bounded-output stability are proved for the proposed control system.Finally,the effectiveness of the proposed method is verified by numerical simulation.

Disturbance rejection PIDData-driven controlError-driven modelModel-free adaptive control

Zhuo-Yun Nie、Gao-Ming Li、Lai-Cheng Yan、Qing-Guo Wang、Ji-Liang Luo

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School of Information Science and Engineering,Huaqiao University,Xiamen 100190,Fujian,China

Institute of Artificial Intelligence and Future Networks,Beijing Normal University,Zhuhai 519087,Guangdong,China

Guangdong Key Lab of AI and Multi-Modal Data Processing,BNU-HKBU United International College,Zhuhai 519087,Guangdong,China

in part by Huaqiao UniversityNatural Science Foundation of Fujian Provincefinancial support of BNU Talent seed fund,UIC Startup FundGuangdong Key Lab of AI and Multimodal Data ProcessingGuangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data ScienceGuangdong Higher Education Upgrading Plan 2021-2025Guangdong Higher Education Upgrading Plan 2021-2025

Z14Y00022019J01053R720211152020KSYS0072022B1212010006R0400001-22R0400025-21

2023

控制理论与技术(英文版)
华南理工大学

控制理论与技术(英文版)

CSCDEI
影响因子：0.307
ISSN：2095-6983
年,卷(期)：2023.21(1)
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