Robust model predictive control for stratospheric airships using LPV design

被引：25

作者：

Liu, Shiqian ^{[1
]}

Sang, Yuanjun ^{[1
]}

Jin, Hongbin ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, Shanghai 200240, Peoples R China

来源：

CONTROL ENGINEERING PRACTICE | 2018年 / 81卷

关键词：

Airship; Linear parameter-varying system; Model predictive control; Robust control; Delay system; POLYTOPIC UNCERTAIN SYSTEMS; TRAJECTORY TRACKING; VARYING SYSTEMS; MPC;

D O I：

10.1016/j.conengprac.2018.09.007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wind and time delays are two major factors that affect the stability and control for an unmanned stratospheric airship. A Robust Model Predictive Control (RMPC) approach is proposed to track desired trajectory for linear parameter-varying (LPV) systems of the airship with state delay and wind disturbances. The RMPC design problem of the studied LPV systems can be interpreted as a semi-definite programming (SDP) via Lyapunov stability theory and linear matrix inequality (LMI) technique. The performance of the proposed controller is illustrated using three scenarios. The results of trajectory tracking control for a YEZ-2A stratospheric airship and a Zhiyuan small-scale low-altitude one show the RMPC design feasible and effective.

引用

页码：231 / 243

页数：13