Active Vibration and Noise Cancellation Control of Four Cylinder Engines - An Application

Riley, B S; Bodie, Mark; Hoying, Jack; Majeed, K.N.; Tewani, Sanjiv G.

doi:10.4271/951299

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…e identification of the primary path or the secondary path is required for model-based control. Identification techniques include harmonic identification [57,66], LMS-or FBLMSbased finite impulse response (FIR) identification [69], [117] Identification FXLMS/AC -V Nakaji et al [57] FRT identification SFX/AC -R/V Aoki et al [9] -SFX/AC -V Lee et al [64] eoretical model Normalized FXLMS/AC E R Fursdon et al [51] -Self-tuning cancellation/AC -V Yang et al [118] eoretical model FXLMS/AC&RC E S/R Lee and Lee [65] eoretical model FXLMS E R Togashi and Ichiryu [58] eoretical model FXLMS/AC -R [71] eoretical model CL -R Fok et al [129] FRT identification H ∞ /RC -R Fakhari and Ohadi [130] eoretical model H 2 and H ∞ /RC -S…”

Section: Identification (Experimental Model)mentioning

confidence: 99%

A Review on Model and Control of Electromagnetic Active Engine Mounts

Zhang

Shi

et al. 2020

Shock and Vibration

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The isolation of the body from engine vibration is the most challenging and disruptive vibrational problem. Active engine mounts (AEMs), especially electromagnetic AEMs, achieve a significant performance improvement in decreasing the wide frequency band vibration. Increasing research interest is necessary to provide the academic community with a guideline for electromagnetic AEMs. Therefore, the current review aims to comprehensively supplement the review of AEMs. The key reviews of electromagnetic AEMs focus on (1) general considerations of electromagnetic AEMs, (2) models, and (3) control strategies. This paper presents a review of the current status and developmental progress of AEMs. A theoretical model, a finite-element model, and the identification (or experimental modelling) of electromagnetic AEMs during the last 2 decades are then studied. Finally, control strategies, such as classical control, adaptive control, and two degree of freedom (2DOF) control, are discussed and compared. The main purpose of this paper is to meet the needs of researchers and engineers engaged in electromagnetic AEM analysis and control.

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Section: Identification (Experimental Model)mentioning

confidence: 99%

A Review on Model and Control of Electromagnetic Active Engine Mounts

Zhang

Shi

et al. 2020

Shock and Vibration

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“…To control AEMs, two approaches are widely used. In the first, adaptive feedforward control is applied to generate an appropriate control signal -in particular the use of finite impulse response (FIR) filters whose coefficients are adapted with the filtered-x leastmean-squares (FxLMS) algorithm (Riley et al, 1995;Togashi and Ichiryu, 2003;Hillis et al, 2005;Hillis, 2011) or one of its variants (Aoki et al, 1999;Nakaji et al, 1999;Fursdon, 2006) is common practice. Since adaptive feedforward control employs an accelerometer on the chassis, it guarantees full vibration compensation, despite any changes in the primary transfer paths or engine disturbances.…”

Section: Introductionmentioning

confidence: 99%

Combination of map-based and adaptive feedforward control algorithms for active engine mounts

Hausberg¹,

Plöchl

Rupp

et al. 2016

Journal of Vibration and Control

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Active engine mounts significantly contribute to ensure the comfort in vehicles with emission-reducing engine technologies, e.g., cylinder-on-demand (COD), downsizing or turbochargers. To control active engine mounts, either adaptive or non-adaptive feedforward control is commonly employed. Since both approaches have previously been treated separately, this study proposes methods to connect them in terms of multiple-input-multiple-output Newton/FxLMS adaptive filters with self-trained, grid-based look-up tables. The look-up tables are incorporated as parameter-maps or parallel-maps, respectively. By combining the two feedforward control strategies, their inherent advantages, i.e., the adaptivity of adaptive filtering and the direct impact as well as the tracking behavior of map-based feedforward control, are utilized. The proposed control structures are illustrated by simulation and experimentally demonstrated in a vehicle with a V8-COD engine. While both methods significantly reduce the convergence time of the adaptive filter, the parallel implementation additionally improves the tracking behavior during fast engine run-ups.

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“…Since most of the semi-active control and active control hydraulic mount is complex in structure, the installation of the necessary space, higher cost disadvantages, affects its further promotion. While the electro-rheological suspension appeared relatively good solution to these problems [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Simulation Analysis of a New Type of Engine Fluid Hydraulic Mount’s Characteristic in Isolating Vibration

Yang¹,

Liu²

2013

AMR

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Based on analyzing the vibration isolating characteristic and existence problems of the traditional ER-Fluid mount, this paper designed a new ER-Fluid mount with ring orifice and then built its mechanics and mathematical model. Carried on the simulation computation to it by Matlab/Simulink and studied the vibration isolating characteristic of ER-Fluid mount in changing design parameter of the ring orifice, finally provide a theory basis for optimizing structures of ER-Fluid mount in future.

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Active Vibration and Noise Cancellation Control of Four Cylinder Engines - An Application

Cited by 7 publications

References 4 publications

A Review on Model and Control of Electromagnetic Active Engine Mounts

A Review on Model and Control of Electromagnetic Active Engine Mounts

Combination of map-based and adaptive feedforward control algorithms for active engine mounts

Simulation Analysis of a New Type of Engine Fluid Hydraulic Mount’s Characteristic in Isolating Vibration

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