Differential Flatness-Based Robust Control of Self-balanced Robots

被引:6
作者
Liang, Dingkun [1 ]
Sun, Ning [1 ]
Wu, Yiming [1 ]
Fang, Yongchun [1 ]
机构
[1] Nankai Univ, IRAIS, Tianjin Key Lab Intelligent Robot tjKLIR, Tianjin 300350, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Self-balanced robot (SBR); differential flatness; active disturbance rejection control (ADRC); underactuated systems; SLIDING-MODE CONTROL; FEEDBACK-CONTROL; DESIGN; SYSTEM;
D O I
10.1016/j.ifacol.2018.10.058
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Underactuated self-balanced robots (SBRs) can be used to implement various tasks. However, with complicated system dynamics and existing external disturbances, the control issue of SBRs is still open and challenging. In order to deal with such problems, by constructing flat outputs, this paper proposes an active disturbance rejection control (ADRC) method for SBRs both on the horizontal plane and the inclined plane, which achieves control objectives of tracking reference signals and can reject perturbations online. Additionally, the integral algebraic estimation and the generalized proportional integral (GPI) methods are applied. Finally, to verify the effectiveness of the proposed controller, numerical simulation results are provided. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:949 / 954
页数:6
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