Continuous model predictive control for linear disturbed systems under mismatching condition

Jun Yang; Wei Xing Zheng

doi:10.1109/WCICA.2014.7052879

Continuous model predictive control for linear disturbed systems under mismatching condition

Jun Yang, Wei Xing Zheng

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

2 Citations (Scopus)

Abstract

This paper presents a continuous model predictive control (MPC) for a class of linear disturbed system under mismatching condition by using a disturbance observer. The disturbance estimates are introduced in the output prediction to correct the errors raised by disturbances and uncertainties, which eventually leads to the desired offset-free tracking performance. The feasibility of the proposed method is validated by implemented it to the speed regulation of a permanent magnet synchronous motor (PMSM) system.

Original language	English
Title of host publication	Proceedings of the 11th World Congress on Intelligent Control and Automation Shenyang, China, June 29 - July 4 2014
Publisher	IEEE
Pages	1143-1147
Number of pages	5
ISBN (Print)	9781479958252
DOIs	https://doi.org/10.1109/WCICA.2014.7052879
Publication status	Published - 2014
Event	World Congress on Intelligent Control and Automation - Duration: 29 Jun 2014 → …

Conference

Conference	World Congress on Intelligent Control and Automation
Period	29/06/14 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

linear systems
permanent magnet motors
predictive control
synchronous motors

Access to Document

10.1109/WCICA.2014.7052879

Cite this

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abstract = "This paper presents a continuous model predictive control (MPC) for a class of linear disturbed system under mismatching condition by using a disturbance observer. The disturbance estimates are introduced in the output prediction to correct the errors raised by disturbances and uncertainties, which eventually leads to the desired offset-free tracking performance. The feasibility of the proposed method is validated by implemented it to the speed regulation of a permanent magnet synchronous motor (PMSM) system.",

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AB - This paper presents a continuous model predictive control (MPC) for a class of linear disturbed system under mismatching condition by using a disturbance observer. The disturbance estimates are introduced in the output prediction to correct the errors raised by disturbances and uncertainties, which eventually leads to the desired offset-free tracking performance. The feasibility of the proposed method is validated by implemented it to the speed regulation of a permanent magnet synchronous motor (PMSM) system.

KW - linear systems

KW - permanent magnet motors

KW - predictive control

KW - synchronous motors

UR - http://handle.uws.edu.au:8081/1959.7/uws:29351

U2 - 10.1109/WCICA.2014.7052879

DO - 10.1109/WCICA.2014.7052879

M3 - Conference Paper

SN - 9781479958252

SP - 1143

EP - 1147

BT - Proceedings of the 11th World Congress on Intelligent Control and Automation Shenyang, China, June 29 - July 4 2014

PB - IEEE

T2 - World Congress on Intelligent Control and Automation

Y2 - 29 June 2014

ER -

Continuous model predictive control for linear disturbed systems under mismatching condition

Abstract

Conference

UN SDGs

Keywords

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