2018
DOI: 10.1002/asjc.1879
|View full text |Cite
|
Sign up to set email alerts
|

Nonlinear MPC for a Sensorless Multi‐Vectored Propeller Airship Based on Sliding Mode Observer with Saturation

Abstract: A nonlinear fault tolerant station keeping controller for a multi-vectored propeller airship without velocity and angular velocity sensors is developed, which is composed of three modules: nonlinear model predictive controller (NMPC), sliding mode observer (SMO), and linear programming (LP) based control allocation. The kinematics and dynamics model of the airship are introduced. Based on the nonlinear model, with the assumption that the velocity and angular velocity sensors are damaged, a sliding mode observe… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
19
0

Year Published

2019
2019
2020
2020

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 15 publications
(19 citation statements)
references
References 43 publications
0
19
0
Order By: Relevance
“…While I 6×6 is an identity matrix. The continuous-time state equation representing airship dynamics is given in (7). Here its compact representation can be given bẏ…”
Section: Ekf Design For Aerodynamic Forces and Torques Estimationmentioning
confidence: 99%
See 1 more Smart Citation
“…While I 6×6 is an identity matrix. The continuous-time state equation representing airship dynamics is given in (7). Here its compact representation can be given bẏ…”
Section: Ekf Design For Aerodynamic Forces and Torques Estimationmentioning
confidence: 99%
“…A vast number of control methods including Sliding Mode Control (SMC) [2]- [4], Nonlinear Model Predictive Controller (NMPC) [7], gain scheduling control [8], etc have been…”
Section: Introductionmentioning
confidence: 99%
“…This phenomenon is usually called saturation. There are many ways to handle saturation, such as circle criterion and Popov criterion within the absolute stability framework [1], quadratic approach based on convex polyhedron and dead zone function [2, 3], low gain feedback control [4–6], anti‐windup compensator synthesis [7], linear programming based saturation suppression strategy [8], and so on.…”
Section: Introductionmentioning
confidence: 99%
“…On another research frontier, sensors may not always be capable of providing signals with unlimited amplitudes due to physical/technological restrictions. Phenomenon of the saturation usually happens in practical physical systems, which seriously affects system performance and even makes the filter unstable [15–18]. Thus, the saturation problem has been considered for state estimation problems in some existing literatures [19–23].…”
Section: Introductionmentioning
confidence: 99%