MMAC Height Control System of a Quadrotor for Constant Unknown Load Transportation

被引:0
作者
Outeiro, Pedro [1 ]
Cardeira, Carlos [1 ]
Oliveira, Paulo [1 ]
机构
[1] Univ Lisbon, Inst Super Tecn, IDMEC, Lisbon, Portugal
来源
2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) | 2018年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a methodology for height control of a quadrotor that transports a constant unknown load, given the estimates on both weight and state variables, based on measurements from motion sensors installed on-board. The proposed control and estimation framework is a Multi-Model Adaptive Controller using LQR with integrative action and Kalman filter with integrative component. The control system obtained is validated both in simulation and experimentally, resorting to an off-the-shelf commercially available quadrotor equipped with an IMU, an ultrasound height sensor, and a barometer, among other sensors.
引用
收藏
页码:4192 / 4197
页数:6
相关论文
共 8 条
[1]  
Athans M., 2001, MULTIPLE MODEL ADAPT
[2]  
Darenlee, 2017, AR DRON 2 0 SUPP EMB
[3]  
Fekri S., 2002, THESIS
[4]   Multirotor Aerial Vehicles Modeling, Estimation, and Control of Quadrotor [J].
Mahony, Robert ;
Kumar, Vijay ;
Corke, Peter .
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2012, 19 (03) :20-32
[5]  
Oliveira P., 2002, THESIS
[6]  
Outeiro P., 2018, LQR MMAE HEIGHT CONT
[7]  
Sreenath K., 2013, P ROBOTICS SCI SYST
[8]  
Tang S., 2015, IEEE INT C ROB AUT