Henrik Niemann

Technical University of Denmark

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Niels Kjølstad Poulsen

Technical University of Denmark

Jakob Stoustrup

Aalborg University

Mogens Blanke

Technical University of Denmark

Mahmood Mirzaei

Technical University of Denmark

Christer Utzen

General Electric (Denmark)

John Bagterp Jørgensen

Technical University of Denmark

Lars Norbert Petersen

General Electric (Denmark)

Bahram Shafai

Northeastern University

Ilmar F. Santos

Technical University of Denmark

Ali Saberi

Washington State University

Cooperative Institutions

Technical University of Denmark

Aalborg University

Ørsted (Denmark)

University of Copenhagen

Norwegian University of Science and Technology

Danfoss (Denmark)

General Electric (Denmark)

Institute of Mathematical Statistics

Rutgers, The State University of New Jersey

Office of Advanced Scientific Computing Research

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ACTIVE FAULT DIAGNOSIS IN CLOSED-LOOP SYSTEMS

IFAC Proceedings Volumes (2005)

Henrik Niemann Niels Kjølstad Poulsen

10.3182/20050703-6-cz-1902.01877

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Citations (38)

Proceedings of the American Control Conference, Albuquerque, New Mexico

Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (1997)

Henrik Niemann Jakob Stoustrup Steen Tøffner-Clausen Palle Andersen

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Active fault detection based on a statistical test

André Krabdrup Sekunda Henrik Niemann Niels Kjølstad Poulsen

In this paper active fault detection of closed loop systems using dual Youla-Jabr-Bongiorno-Kucera(YJBK) parameters is presented. Until now all detector design for active fault detection using the dual YJBK parameters has been based on CUSUM detectors. Here a method for design of a matched filter detector is proposed instead, based upon the Neyman-Pearson criterion for optimal detector design. Furthermore alternative ways to design the excitation signal which relates to indirect identification methods are presented. Examples are given on detection of actuator faults using a simulated gas bearing for both one and multiple possible parametric faults.

CUSUM

Detection theory

10.1109/systol.2016.7739800

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Citations (3)

Robust stability in constrained predictive control through the Youla parameterisations

International Journal of Control (2011)

Sven Creutz Thomsen Henrik Niemann Niels Kjølstad Poulsen

In this article we take advantage of the primary and dual Youla parameterisations to set up a soft constrained model predictive control (MPC) scheme. In this framework it is possible to guarantee stability in face of norm-bounded uncertainties. Under special conditions guarantees are also given for hard input constraints. In more detail, we parameterise the MPC predictions in terms of the primary Youla parameter and use this parameter as the on-line optimisation variable. The uncertainty is parameterised in terms of the dual Youla parameter. Stability can then be guaranteed through small gain arguments on the loop consisting of the primary and dual Youla parameter. This is included in the MPC optimisation as a constraint on the induced gain of the optimisation variable. We illustrate the method with a numerical simulation example.

Model Predictive Control

Control variable

10.1080/00207179.2011.562923

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Citations (9)

Active Fault Diagnosis in Closed-Loop Uncertain Systems

Elsevier eBooks (2007)

Henrik Niemann

Signature (topology)

Isolation

10.1016/b978-008044485-7/50099-3

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Citations (6)

Analysis and design of controllers for a double inverted pendulum

Henrik Niemann Jesper Kildegaard Poulsen

A physical control problem is studied with the /spl mu/ methodology. The issues of modelling, uncertainty modelling, performance specification, controller design and laboratory implementation are discussed. The laboratory experiment is a double inverted pendulum placed on a cart. The limitations in the system with respect to performance are the limitation in the control signal and the limitation of the movement of the chart. It is shown how these performance limitation will effect the design of a /spl mu/ controller for the system.

SIGNAL (programming language)

10.1109/acc.2003.1243747

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Citations (21)

Detector design for active fault diagnosis in closed‐loop systems

International Journal of Adaptive Control and Signal Processing (2018)

André Krabdrup Sekunda Henrik Niemann Niels Kjølstad Poulsen

Summary Fault diagnosis of closed‐loop systems is extremely relevant for high‐precision equipment and safety critical systems. Fault diagnosis is usually divided into 2 schemes: active and passive fault diagnosis. Recent studies have highlighted some advantages of active fault diagnosis based on dual Youla‐Jabr‐Bongiorno‐Kucera parameters. In this paper, a method for closed‐loop active fault diagnosis based on statistical detectors is given using dual Youla‐Jabr‐Bongiorno‐Kucera parameters. The goal of this paper is 2‐fold. First, the authors introduce a method for measuring a residual signal subject to white noise. Second, an optimal detector design is presented for single and multiple faults using the amplitude and phase shift of the residual signal to conduct diagnosis. Here, both the optimal case of a perfect model and the suboptimal case of a model with uncertainties are discussed. The method is successfully tested on a simulated system with parametric faults.

SIGNAL (programming language)

10.1002/acs.2858

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Citations (8)

Eigenstructure/LTR Feedback Design For Non-Minimum Phase Plants

American Control Conference (1990)

Per Søgaard-Andersen Henrik Niemann

In this paper we derive ney results on feedback design for non-minimum phase systems based on an eigenstructure interpretation of the LTR-concept. To facilitate this a modification of the recovery principle is formulated.

Minimum phase

10.23919/acc.1990.4790869

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Citations (0)

Robust fault detection in open loop vs. closed loop

Henrik Niemann Jakob Stoustrup

The robustness aspects of fault detection and isolation (FDI) for uncertain systems are considered. The FDI problem is considered in a standard problem formulation. The FDI design problem is analyzed both in the case where the control input signal is considered as a known external input signal (open loop) and when the input signal is generated by a feedback controller.

Robustness

Open-loop controller

SIGNAL (programming language)

10.1109/cdc.1997.649678

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Citations (42)

ACTIVE FAULT DIAGNOSIS BY TEMPORARY DESTABILIZATION

IFAC Proceedings Volumes (2006)

Jakob Stoustrup Henrik Niemann

10.3182/20060829-4-cn-2909.00093

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Citations (8)