Equivalence of LADRC and INDI controllers for improvement of LADRC in practical applications

被引:13
作者
Cai, Zhihao [1 ]
Wang, Zexin [1 ]
Zhao, Jiang [1 ]
Wang, Yingxun [1 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China
关键词
Incremental nonlinear dynamic inversion (INDI); Linear active disturbance rejection control (LADRC); Linear extended state observer (LESO); NONLINEAR DYNAMIC INVERSION; ATTITUDE-CONTROL; QUADROTOR;
D O I
10.1016/j.isatra.2021.07.039
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper explores the equivalence between the linear active disturbance rejection control (LADRC) and incremental nonlinear dynamic inversion (INDI) controllers. The equivalence is verified using an n-order, single-input-single-output, perturbed, pure integration plant which represents a class of feedback linearizable systems. And the linear extended state observer (LESO) inside the LADRC is interpreted from a filter perspective, which shows that the core of the LESO is a low-pass filter. A better parameter tuning method is proposed for the LESO. Then, based on the equivalence, an actuator model is integrated into the LADRC to improve its performance on the plant with non-negligible actuator dynamics that are ignored by the original LADRC. Through the modification, compared with the original LADRC, the bandwidth of the LESO and the whole controller is extended, so that improved performance can be achieved on the plants with low-bandwidth actuators. The equivalence between two controllers and the effectiveness of the improved LADRC are both demonstrated by experiments conducted on a quadrotor. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:562 / 573
页数:12
相关论文
共 36 条
[1]   PI(D) tuning for Flight Control Systems via Incremental Nonlinear Dynamic Inversion [J].
Acquatella, Paul B. ;
van Ekeren, Wim ;
Chu, Qi Ping .
IFAC PAPERSONLINE, 2017, 50 (01) :8175-8180
[2]   Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances [J].
Altan, Aytac ;
Hacioglu, Rifat .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 138
[3]  
Altan Aytac, 2018, 2018 6 INT C CONTROL
[4]   Evaluation of the Disturbance Rejection Performance of an Aerial Manipulator [J].
Aydemir, Mete ;
Arikan, Kutluk Bilge .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 97 (3-4) :451-469
[5]  
BELGE E., 2020, Balk. J. Electr. Comput. Eng., V8, P121, DOI DOI 10.17694/BAJECE.654499
[6]  
Binz F, 2019, INT J MICRO AIR VEH, P11
[7]   New Results on Output Feedback H∞ Control for Linear Discrete-Time Systems [J].
Chang, Xiao-Heng ;
Yang, Guang-Hong .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (05) :1355-1359
[8]   Disturbance-Observer-Based Control and Related Methods-An Overview [J].
Chen, Wen-Hua ;
Yang, Jun ;
Guo, Lei ;
Li, Shihua .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (02) :1083-1095
[9]  
Di Francesco Gabriele, 2015, IFAC - Papers Online, V48, P156, DOI 10.1016/j.ifacol.2015.08.076
[10]   A Speed Estimation Method for Induction Motors Based on Active Disturbance Rejection Observer [J].
Du, Chao ;
Yin, Zhonggang ;
Liu, Jing ;
Zhang, Yanqing ;
Sun, Xiangdong .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (08) :8429-8442