Adaptive narrow band disturbance rejection applied to an active suspension—an internal model principle approach

Landau, Ioan Doré; Constantinescu, Aurélian; Rey, D.

doi:10.1016/j.automatica.2004.08.022

Cited by 181 publications

(188 citation statements)

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“…It is also assumed that the possible small variations or uncertainties of the plant model can be handled by a robust control design. The problem of adaptive regulation as defined above has been previously addressed in a number of papers ( [11][12][13][14][15][16][17][18][19][20][21]) among others. [3] presents a survey of the various techniques (up to 2010) used in adaptive regulation as well as a review of a number of applications.…”

Section: The Adaptive Regulation Paradigmmentioning

confidence: 99%

“…From these equations one obtains finally the following expression for the residual error (acceleration or force, for details see [16]):…”

Section: Matec Web Of Conferencesmentioning

confidence: 99%

“…The Youla-Kucera parametrization of the controller (see [16]) is a key point 04001-p.6 for an efficient application of the Internal Model Principle as well as for developing a direct adaptive regulation algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive active vibration isolation – A control perspective

Landau

Airimiţoaie

Silva

et al. 2015

MATEC Web of Conferences

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Abstract. In many classes of applications like active vibration control and active noise control, the disturbances can be characterized by their frequencies content and their location in a specific region in the frequency domain. The disturbances can be of narrow band type (simple or multiple) or of broad band type. A model can be associated to these disturbances. The knowledge of the disturbance model as well as of the compensator system is necessary for the design of an appropriate control system in order to attenuate (or to reject) their effect upon the system to be controlled. The attenuation of disturbances by feedback is limited by the Bode Integral and the "water bed" effect upon the output sensitivity function. In such situations, the feedback approach has to be complemented by a "feedforward disturbance compensation" requiring an additional transducer for getting information upon the disturbance. Unfortunately in most of the situations the disturbances are unknown and time-varying and therefore an adaptive approach should be considered. The generic term for adaptive attenuation of unknown and time-varying disturbances is "adaptive regulation" (known plant model, unknown and time-varying disturbance model).The paper will review a number of recent developments for adaptive feedback compensation of multiple unknown and timevarying narrow band disturbances and for adaptive feedforward compensation of broad band disturbances in the presence of the inherent internal positive feedback caused by the coupling between the compensator system and the measurement of the image of the disturbance. Some experimental results obtained on a relevant active vibration control system will illustrate the performance of the various algorithms presented.

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Section: The Adaptive Regulation Paradigmmentioning

confidence: 99%

“…From these equations one obtains finally the following expression for the residual error (acceleration or force, for details see [16]):…”

Section: Matec Web Of Conferencesmentioning

confidence: 99%

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Adaptive active vibration isolation – A control perspective

Landau

Airimiţoaie

Silva

et al. 2015

MATEC Web of Conferences

Self Cite

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“…The reason is that the controller parameters are adapted with respect to variations of parameters of the disturbance model. In [8], two approaches are compared on an active suspension system. The first approach is a direct adaptive control scheme with Q-parameterization of the controller, where the disturbance is rejected by adjusting the parameters of the Q polynomial.…”

Section: Introductionmentioning

confidence: 99%

H∞ gain-scheduled controller design for rejection of time-varying narrow-band disturbances applied to a benchmark problem

Karimi

Emedi

2013

European Journal of Control

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A new method for H-infinity gain-scheduled controller design by convex optimization is proposed that uses only frequencydomain data. The method is based on loop shaping in the Nyquist diagram with constraints on the weighted infinity-norm of closed-loop transfer functions. This method is applied to a benchmark for adaptive rejection of multiple narrow-band disturbances. First, it is shown that a robust controller can be designed for the rejection of a sinusoidal disturbance with known frequency. The disturbance model is fixed in the controller, based on the internal model principle, and the other controller parameters are computed by convex optimization to meet the constraints on the infinity-norm of sensitivity functions. It is shown next that a gain scheduled-controller can be computed for a finite set of disturbance frequencies by convex optimization. An adaptation algorithm is used to estimate the disturbance frequency which adjusts the parameters of the internal model in the controller. The simulation and experimental results show the good performance of the proposed control system.

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“…One solution of this problem is to use internal model principle with Youla-Kucera parametrization. Landau et al [13], [14], [15], [16] present a direct adaptive control based on the internal model principle and the use of the Youla-Kucera parametrization (Q-parametrization) for a single input/singleoutput (SISO) systems. The main idea behind this approach is to insert and adjust the internal model of the disturbance in the controller by tuning the parameters of the polynomial Q.…”

Section: Introductionmentioning

confidence: 99%

Multivariable Q-parametrization for Rejection of Harmonic Disturbances

Dehri¹,

Ltaïef²,

Said³

2012

IJCA

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The design of accurate control becomes more difficult due to the complexity of industrial processes. In this paper, we are interested on the tracking of reference trajectories and the rejection of harmonic disturbances for discrete multi-input multi-output systems. A new control strategy based on the combination of partial state reference model control, internal model principle and Youla-Kucera parametrization for discrete multivariable systems isproposed. A numerical example shows that the proposed strategy gives a good performance in terms of rejecting harmonic disturbances and reference trajectories tracking.

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Adaptive narrow band disturbance rejection applied to an active suspension—an internal model principle approach

Cited by 181 publications

References 20 publications

Adaptive active vibration isolation – A control perspective

Adaptive active vibration isolation – A control perspective

H∞ gain-scheduled controller design for rejection of time-varying narrow-band disturbances applied to a benchmark problem

Multivariable Q-parametrization for Rejection of Harmonic Disturbances

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