MPC and DOb-based robust optimal control of a new quadrotor manipulation system

Ahmed Khalifa, Mohamed Fanni, Toru Namerikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper introduces motion control scheme of a new aerial manipulation system that consists of 2-link manipulator attached to the bottom of a quadrotor. This new system presents a solution for the limitations found in the current quadrotor manipulation systems. It is very attractive for a wide range of applications due to their unique features. However, control of such system is quite challenging because it is naturally unstable, has strong nonlinearities and couplings, has fast dynamics, is very susceptible to parameters variations due to carrying a payload besides the external disturbances like wind, and has actuator limitations. A robust optimal linear control scheme is proposed to address these issues. The proposed control scheme is based on a hybrid linear Model Predictive Control (MPC) and linear Disturbance Observer (DOb) techniques. The motivation for using DOb is to provide the robustness against the nonlinearities/uncertainties. In addition, it allows one to solve the control problem relying on a set of linear decoupled SISO system which are not affected by nonlinear/uncertain terms. To deal with the actuators' constraints and achieve an optimal controller efforts, a standard MPC will be used. The resulting control scheme is characterized by a low computational load with respect to conventional nonlinear robust solutions. Stability analysis of the proposed control system is presented. The controller is tested to achieve of a point-to-point task space control, under the effect of picking/placing a payload, changing the operating region, and measurement noise. System simulation is implemented in MATLAB/SIMULINK environment with real system parameters, to better emulate a realistic set up. Simulation results enlighten the effectiveness of the proposed control technique.

Original languageEnglish
Title of host publication2016 European Control Conference, ECC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages483-488
Number of pages6
ISBN (Electronic)9781509025916
DOIs
Publication statusPublished - 2017 Jan 6
Event2016 European Control Conference, ECC 2016 - Aalborg, Denmark
Duration: 2016 Jun 292016 Jul 1

Other

Other2016 European Control Conference, ECC 2016
CountryDenmark
CityAalborg
Period16/6/2916/7/1

Fingerprint

Disturbance Observer
Model predictive control
Model Predictive Control
Robust Control
Manipulation
Optimal Control
Actuator
Nonlinearity
Actuators
Controller
Linear Control
Motion Control
Hybrid Model
Matlab/Simulink
Controllers
System Simulation
Manipulator
Motion control
Standard Model
Stability Analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization

Cite this

Khalifa, A., Fanni, M., & Namerikawa, T. (2017). MPC and DOb-based robust optimal control of a new quadrotor manipulation system. In 2016 European Control Conference, ECC 2016 (pp. 483-488). [7810331] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECC.2016.7810331

MPC and DOb-based robust optimal control of a new quadrotor manipulation system. / Khalifa, Ahmed; Fanni, Mohamed; Namerikawa, Toru.

2016 European Control Conference, ECC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 483-488 7810331.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Khalifa, A, Fanni, M & Namerikawa, T 2017, MPC and DOb-based robust optimal control of a new quadrotor manipulation system. in 2016 European Control Conference, ECC 2016., 7810331, Institute of Electrical and Electronics Engineers Inc., pp. 483-488, 2016 European Control Conference, ECC 2016, Aalborg, Denmark, 16/6/29. https://doi.org/10.1109/ECC.2016.7810331
Khalifa A, Fanni M, Namerikawa T. MPC and DOb-based robust optimal control of a new quadrotor manipulation system. In 2016 European Control Conference, ECC 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 483-488. 7810331 https://doi.org/10.1109/ECC.2016.7810331
Khalifa, Ahmed ; Fanni, Mohamed ; Namerikawa, Toru. / MPC and DOb-based robust optimal control of a new quadrotor manipulation system. 2016 European Control Conference, ECC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 483-488
@inproceedings{4bbdcc77dde24aa0a4324b140dfc3b3a,
title = "MPC and DOb-based robust optimal control of a new quadrotor manipulation system",
abstract = "This paper introduces motion control scheme of a new aerial manipulation system that consists of 2-link manipulator attached to the bottom of a quadrotor. This new system presents a solution for the limitations found in the current quadrotor manipulation systems. It is very attractive for a wide range of applications due to their unique features. However, control of such system is quite challenging because it is naturally unstable, has strong nonlinearities and couplings, has fast dynamics, is very susceptible to parameters variations due to carrying a payload besides the external disturbances like wind, and has actuator limitations. A robust optimal linear control scheme is proposed to address these issues. The proposed control scheme is based on a hybrid linear Model Predictive Control (MPC) and linear Disturbance Observer (DOb) techniques. The motivation for using DOb is to provide the robustness against the nonlinearities/uncertainties. In addition, it allows one to solve the control problem relying on a set of linear decoupled SISO system which are not affected by nonlinear/uncertain terms. To deal with the actuators' constraints and achieve an optimal controller efforts, a standard MPC will be used. The resulting control scheme is characterized by a low computational load with respect to conventional nonlinear robust solutions. Stability analysis of the proposed control system is presented. The controller is tested to achieve of a point-to-point task space control, under the effect of picking/placing a payload, changing the operating region, and measurement noise. System simulation is implemented in MATLAB/SIMULINK environment with real system parameters, to better emulate a realistic set up. Simulation results enlighten the effectiveness of the proposed control technique.",
author = "Ahmed Khalifa and Mohamed Fanni and Toru Namerikawa",
year = "2017",
month = "1",
day = "6",
doi = "10.1109/ECC.2016.7810331",
language = "English",
pages = "483--488",
booktitle = "2016 European Control Conference, ECC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - MPC and DOb-based robust optimal control of a new quadrotor manipulation system

AU - Khalifa, Ahmed

AU - Fanni, Mohamed

AU - Namerikawa, Toru

PY - 2017/1/6

Y1 - 2017/1/6

N2 - This paper introduces motion control scheme of a new aerial manipulation system that consists of 2-link manipulator attached to the bottom of a quadrotor. This new system presents a solution for the limitations found in the current quadrotor manipulation systems. It is very attractive for a wide range of applications due to their unique features. However, control of such system is quite challenging because it is naturally unstable, has strong nonlinearities and couplings, has fast dynamics, is very susceptible to parameters variations due to carrying a payload besides the external disturbances like wind, and has actuator limitations. A robust optimal linear control scheme is proposed to address these issues. The proposed control scheme is based on a hybrid linear Model Predictive Control (MPC) and linear Disturbance Observer (DOb) techniques. The motivation for using DOb is to provide the robustness against the nonlinearities/uncertainties. In addition, it allows one to solve the control problem relying on a set of linear decoupled SISO system which are not affected by nonlinear/uncertain terms. To deal with the actuators' constraints and achieve an optimal controller efforts, a standard MPC will be used. The resulting control scheme is characterized by a low computational load with respect to conventional nonlinear robust solutions. Stability analysis of the proposed control system is presented. The controller is tested to achieve of a point-to-point task space control, under the effect of picking/placing a payload, changing the operating region, and measurement noise. System simulation is implemented in MATLAB/SIMULINK environment with real system parameters, to better emulate a realistic set up. Simulation results enlighten the effectiveness of the proposed control technique.

AB - This paper introduces motion control scheme of a new aerial manipulation system that consists of 2-link manipulator attached to the bottom of a quadrotor. This new system presents a solution for the limitations found in the current quadrotor manipulation systems. It is very attractive for a wide range of applications due to their unique features. However, control of such system is quite challenging because it is naturally unstable, has strong nonlinearities and couplings, has fast dynamics, is very susceptible to parameters variations due to carrying a payload besides the external disturbances like wind, and has actuator limitations. A robust optimal linear control scheme is proposed to address these issues. The proposed control scheme is based on a hybrid linear Model Predictive Control (MPC) and linear Disturbance Observer (DOb) techniques. The motivation for using DOb is to provide the robustness against the nonlinearities/uncertainties. In addition, it allows one to solve the control problem relying on a set of linear decoupled SISO system which are not affected by nonlinear/uncertain terms. To deal with the actuators' constraints and achieve an optimal controller efforts, a standard MPC will be used. The resulting control scheme is characterized by a low computational load with respect to conventional nonlinear robust solutions. Stability analysis of the proposed control system is presented. The controller is tested to achieve of a point-to-point task space control, under the effect of picking/placing a payload, changing the operating region, and measurement noise. System simulation is implemented in MATLAB/SIMULINK environment with real system parameters, to better emulate a realistic set up. Simulation results enlighten the effectiveness of the proposed control technique.

UR - http://www.scopus.com/inward/record.url?scp=85015033391&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015033391&partnerID=8YFLogxK

U2 - 10.1109/ECC.2016.7810331

DO - 10.1109/ECC.2016.7810331

M3 - Conference contribution

AN - SCOPUS:85015033391

SP - 483

EP - 488

BT - 2016 European Control Conference, ECC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -