Application of constrained predictive control on a 3D crane system

J. M. Deng; V. M. Becerra

doi:10.1109/RAMECH.2004.1438985

Application of constrained predictive control on a 3D crane system

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes the SIMULINK implementation of a constrained predictive control algorithm based on quadratic programming and linear state space models, and its application to a laboratory-scale 3D crane system. The algorithm is compatible with Real Time. Windows Target and, in the case of the crane system, it can be executed with a sampling period of 0.01 s and a prediction horizon of up to 300 samples, using a linear state space model with 3 inputs, 5 outputs and 13 states.

Original language	English
Title of host publication	2004 IEEE Conference on Robotics, Automation and Mechatronics
Place of Publication	New York
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	583-587
Volume	1
ISBN (Print)	0780386450
DOIs	https://doi.org/10.1109/RAMECH.2004.1438985
Publication status	Published - 2004

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10.1109/RAMECH.2004.1438985

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title = "Application of constrained predictive control on a 3D crane system",

abstract = "This paper describes the SIMULINK implementation of a constrained predictive control algorithm based on quadratic programming and linear state space models, and its application to a laboratory-scale 3D crane system. The algorithm is compatible with Real Time. Windows Target and, in the case of the crane system, it can be executed with a sampling period of 0.01 s and a prediction horizon of up to 300 samples, using a linear state space model with 3 inputs, 5 outputs and 13 states.",

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booktitle = "2004 IEEE Conference on Robotics, Automation and Mechatronics",

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AU - Becerra, V. M.

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AB - This paper describes the SIMULINK implementation of a constrained predictive control algorithm based on quadratic programming and linear state space models, and its application to a laboratory-scale 3D crane system. The algorithm is compatible with Real Time. Windows Target and, in the case of the crane system, it can be executed with a sampling period of 0.01 s and a prediction horizon of up to 300 samples, using a linear state space model with 3 inputs, 5 outputs and 13 states.

U2 - 10.1109/RAMECH.2004.1438985

DO - 10.1109/RAMECH.2004.1438985

M3 - Conference contribution

SN - 0780386450

VL - 1

SP - 583

EP - 587

BT - 2004 IEEE Conference on Robotics, Automation and Mechatronics

PB - Institute of Electrical and Electronics Engineers Inc.

CY - New York

ER -

Application of constrained predictive control on a 3D crane system

Abstract

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