黑龙江科技大学学报2024，Vol.34Issue(1)：118-124,7.DOI:10.3969/j.issn.2095-7262.2024.01.018
在线优化参数的多变量无模型预测线性自抗扰控制
Multivariable model-free predictive active disturbance rejection control of on-line parameter optimization
侯小秋 1李丽华1
作者信息
- 1. 黑龙江科技大学 电气与控制工程学院,哈尔滨 150022
- 折叠
摘要
Abstract
This paper is focused on the solution to the overlying nonlinear system in multivariable lin-ear model of time-varying parameter.The study consists of approaching to the system by using the multi-variable partial format dynamic linear method with auxiliary vector;adding the identifiable linear model to the multivariable linear state observer for improving observation accuracy;introducing the input and out-put predicative values for reference ahead into the multivariable linear tracking-differentiator and state ob-server to enable the multivariable onlinear active disturbance rejection controller to have the predicative control function;and by using nonlinear recursive least squares method,optimizing the parameters of the multivariable linear active disturbance rejection controller,and providong the algorithm of multivariable model-free predictive active disturbance rejection control of parameters optimization on-line The results show that the response curve without parameter optimization presents big overshoot within setting time of 1 s,and withno steady deviation;and the response curve with parameter optimization presents smaller o-vershoot within the setting time of 0.65 s,thus,this control algorithm has excellent control response.关键词
多变量线性自抗扰控制/无模型自适应控制/预测控制/非线性系统/在线优化参数Key words
multivariable linear active disturbance rejection control/model-free adaptive control/predicative-control/nonlinear system/parameters optimization on-line分类
信息技术与安全科学引用本文复制引用
侯小秋,李丽华..在线优化参数的多变量无模型预测线性自抗扰控制[J].黑龙江科技大学学报,2024,34(1):118-124,7.
