| 注册
首页|期刊导航|控制理论与应用|压电作动器的多目标互补鲁棒控制方法研究

压电作动器的多目标互补鲁棒控制方法研究

陈辉 齐苗苗 刘佳彬 连峰 韩崇昭

控制理论与应用2026,Vol.43Issue(2):227-238,12.
控制理论与应用2026,Vol.43Issue(2):227-238,12.DOI:10.7641/CTA.2024.30532

压电作动器的多目标互补鲁棒控制方法研究

Research on multi-objective complementary robust control of piezoelectric actuators

陈辉 1齐苗苗 1刘佳彬 1连峰 2韩崇昭2

作者信息

  • 1. 兰州理工大学电气工程与信息工程学院,甘肃兰州 730050
  • 2. 西安交通大学自动化科学与工程学院,陕西西安 710049
  • 折叠

摘要

Abstract

To address the challenge of achieving high-precision tracking control for piezoelectric actuators(PEAs)in the presence of model uncertainty,external interference,and measurement noise,a novel multi-objective complementary robust control method is proposed in this paper.First,a rate-dependent hysteresis nonlinear model,structured upon the Hammer-stein model,is formulated.This model represents the static hysteresis nonlinear component using the Prandtl-Ishlinskii(PI)model,while the dynamic linear component is characterized by an enhanced correlation identification method.Then,a multi-objective complementary robust control method is employed to achieve the precise tracking control of the piezo-electric actuator.This approach integrates PID control principles to optimize the closed-loop system's performance,in-corporates robust control strategies to ensure the stability of the closed-loop system,and utilizes Youla parameterization to address the conflict between the system's optimal performance and robustness.Finally,the system's tracking accuracy and anti-interference capabilities are verified through experiments,providing empirical evidence for the effectiveness of the proposed methodology in this paper.

关键词

压电作动器/鲁棒控制/相关性辨识/Youla参数化/卡尔曼滤波/多目标互补控制

Key words

piezoelectric actuators/robust control/relevance recognition/Youla parameterization/Kalmen filter/multi-objective complementary control

引用本文复制引用

陈辉,齐苗苗,刘佳彬,连峰,韩崇昭..压电作动器的多目标互补鲁棒控制方法研究[J].控制理论与应用,2026,43(2):227-238,12.

基金项目

国家自然科学基金项目(62363023,62163023,61873116,62366031),甘肃省基础研究创新群体项目(25JRRA058),中央引导地方科技发展资金项目(25ZYJA040),甘肃省重点人才项目(2024RCXM86),甘肃省军民融合发展专项资金项目资助.Supported by the National Natural Science Foundation of China(62363023,62163023,61873116,62366031),the Gansu Provincial Basic Research Innovation Group of China(25JRRA058),the Central Government's Funds for Guiding Local Science and Technology Development of China(25ZY-JA040),the Gansu Provincial Key Talent Project of China(2024RCXM86)and the Gansu Provincial Special Fund for Military-Civilian Integration Development of China. (62363023,62163023,61873116,62366031)

控制理论与应用

1000-8152

访问量0
|
下载量0
段落导航相关论文