Linear parameter-varying based tracking control of hypersonic flight vehicles with input saturation

被引:0
作者
Yan, Tinggui [1 ,2 ]
Hu, Shaohua [3 ]
He, Xinhua [2 ]
Duan, YongYong [4 ]
机构
[1] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha 410073, Hunan, Peoples R China
[2] Beijing Inst Astronaut Syst Engn, Beijing 100076, Peoples R China
[3] Beijing Inst Struct & Environm Engn, Beijing 100076, Peoples R China
[4] Beijing Inst Precis Electromech Control Equipment, Beijing 100076, Peoples R China
来源
PROCEEDINGS OF 2016 10TH INTERNATIONAL CONFERENCE ON SOFTWARE, KNOWLEDGE, INFORMATION MANAGEMENT & APPLICATIONS (SKIMA) | 2016年
关键词
LPV; tracking control; input saturation; HSVs; ROBUST NONLINEAR CONTROL; CONTROL DESIGN; AIRCRAFT; MODEL;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper is concerned with Linear parameter varying based tracking control of hypersonic flight vehicles subject to parameter uncertainties, external disturbances and input saturation constraints. The overall design procedure is consisted of three parts, which includes system decomposition, model transformation, and LMI-based controller design. Specifically, the tracking problem is firstly reformulated as the robust H-infinity control for uncertain quasi-LPV error subsystems through variable decomposition and small gain theorem. Then, the tensor-product model transformation technique is used to transform the system matrices into convex polytopic forms, which has less computational load and more flexibility due to the system decomposition process. Since only the weighting functions are related to the system states, the controller can be obtained by solving finite number of LMIs corresponding the LTI vertex systems, instead of solving state-dependent Riccati equation on line at a high Hertz rate. Moreover, by defining the control gain matrix described as a convex polytopic form with the same weighting functions, the designed controller is time-varying and nonlinear. Simulation results demonstrate that the proposed control method can guarantee both good tracking and disturbances rejection performance.
引用
收藏
页码:187 / 198
页数:12
相关论文
共 28 条
[1]  
Baranyi P, 2004, ASIAN J CONTROL, V6, P21, DOI 10.1111/j.1934-6093.2004.tb00181.x
[2]  
Baranyi P., 2013, TENSOR PRODUCT MODEL, DOI DOI 10.1201/B15376
[3]  
Baranyi P., 2013, IEEE T FUZZY SYSTEMS
[4]  
Bushcek H., 1997, J GUIDANCE CONTROL D, V20, P42, DOI DOI 10.2514/2.4031
[5]   Adaptive dynamic surface control of a hypersonic flight vehicle with improved tracking [J].
Butt, Waseem Aslam ;
Yan, Lin ;
Kendrick, Amezquita S. .
ASIAN JOURNAL OF CONTROL, 2013, 15 (02) :594-605
[6]  
Butt WA, 2010, CHIN CONTR CONF, P733
[7]   Robust stability analysis and fuzzy-scheduling control for nonlinear systems subject to actuator saturation [J].
Cao, YY ;
Lin, ZL .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2003, 11 (01) :57-67
[8]   Robust tracking control for uncertain MIMO nonlinear systems with input saturation using RWNNDO [J].
Chen, Mou ;
Zhou, Yanlong ;
Guo, William W. .
NEUROCOMPUTING, 2014, 144 :436-447
[9]   Direct Adaptive Neural Control for a Class of Uncertain Nonaffine Nonlinear Systems Based on Disturbance Observer [J].
Chen, Mou ;
Ge, Shuzhi Sam .
IEEE TRANSACTIONS ON CYBERNETICS, 2013, 43 (04) :1213-1225
[10]   Robust Adaptive Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems With Input Nonlinearities [J].
Chen, Mou ;
Ge, Shuzhi Sam ;
How, Bernard Voon Ee .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (05) :796-812