Model reference tracking control for nonlinear parameter-varying systems with mismatched disturbances

被引:0
作者
Li Y. [1 ]
Ke J. [1 ]
Zeng J.-P. [1 ]
机构
[1] School of Aerospace Engineering, Xiamen University, Fujian, Xiamen
来源
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2023年 / 40卷 / 02期
关键词
input-to-state stability; mismatched disturbance; nonlinear parameter-varying system; sum of squares convex optimization; tracking control;
D O I
10.7641/CTA.2022.11294
中图分类号
学科分类号
摘要
In this paper, a tracking control problem is considered for a class of nonlinear parameter-varying systems with mismatched disturbances. First, a nonlinear disturbance observer is designed to estimate the unknown disturbances. Second, a disturbance observer-based tracking control strategy is proposed by introducing a disturbance compensation control item into the feedforward-feedback tracking controller. And utilizing linear matrix inequalities dependent on states and time-varying parameters, the sufficient condition of the input-to-state stability is derived for the closed-loop system. Then the corresponding disturbance observer and the tracking controller are analytically constructed via the sum of squares convex optimization technique. It is proved theoretically that the presented control strategy can make the output of the nonlinear parameter-varying system track the output of the reference model, and eliminate the influence of the mismatched disturbances on the output channel. Finally, a numerical simulation example is given to verify the validity of the proposed method. © 2023 South China University of Technology. All rights reserved.
引用
收藏
页码:212 / 219
页数:7
相关论文
共 31 条
[1]  
BHAT S R., Controlabity of nonlinear time-varying systems: Applications to spacecraft attitude control using magnetic actuation, IEEE Transactions on Automatic Control, 50, 11, pp. 1725-1735, (2005)
[2]  
NEMATI F, HAMAMI S M S, ZEMOUCHE A., A nonlinear observer-based approach to fault detection, isolation and estimation for satellite formation flight application, Automatica, 107, pp. 474-482, (2019)
[3]  
YOU X, HUA C C, LI K, Et al., Fixed-time leader-following consensus for high-order time-varying nonlinear multiagent systems, IEEE Transactions on Automatic Control, 65, 12, pp. 5510-5516, (2020)
[4]  
HU J, WANG Z D, GAO H J., Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations, Automatica, 97, pp. 150-160, (2018)
[5]  
LONG L J., Integral ISS for switched nonlinear time-varying systems using indefinite multiple Lyapunov functions, IEEE Transactions on Automatic Control, 64, 1, pp. 404-411, (2019)
[6]  
SHAMMA J, ATHANS M., Analysis of gain scheduled control for nonlinear plants, IEEE Transactions on Automatic Control, 35, 8, pp. 898-907, (1990)
[7]  
WANG Dongfeng, ZHU Weiqi, Advances in modeling and control of linear parameter varying systems, Acta Automatica Sinica, 47, 4, pp. 780-790, (2021)
[8]  
DABIRI A, KULCSAR B, KOROGLU H., Distributed LPV state-feedback control under control input saturation, IEEE Transactions on Automatic Control, 62, 5, pp. 2450-2456, (2017)
[9]  
CAI X S, LIU Y, ZHANG W., Control design for a class of nonlinear parameter varying systems, International Journal of Systems Science, 46, 9, pp. 1638-1647, (2015)
[10]  
MORATO M M, NORMEY-RICO J E, SENAME O., An input-to-state stable model predictive control framework for Lipschitz nonlinear parameter varying systems, International Journal of Robust and Nonlinear Control, 31, 17, pp. 8239-8272, (2021)