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Journal articles on the topic 'FXLMS algorithm'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Wu, Xuechun, Yansong Wang, Hui Guo, Tao Yuan, Pei Sun, and Lihui Zheng. "A Decoupling Algorithm Based on PID Neural Network for Multi-Channel Active Noise Control of Nonstationary Noise." International Journal of Acoustics and Vibration 27, no. 2 (2022): 91–99. http://dx.doi.org/10.20855/ijav.2022.27.21835.

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It is critical to study multi-channel active noise control (ANC) systems to satisfy the requirements of noise reduction in multi-target positions. However, the complexity of the system may increase as the result of an increased number of sound channels. In addition, multi-channel coupling affects the stability of a system. In this paper, a decoupling algorithm based on the Proportion Integration Differentiation (PID) neural network and the filtered-x least-mean-square (FxLMS) for the multi-channel ANC of nonstationary noise is proposed. Due to the nonlinear characteristics of the PID neural ne

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2

Zhang, Tao, Yang Jiao, Yaqin Wu, Tong An, Xin Zhao, and Yanzhang Geng. "Adaptive ANC algorithm for internal and external dual-channel noise." Noise Control Engineering Journal 73, no. 2 (2025): 185–98. https://doi.org/10.3397/1/377312.

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Noise control technology is a burgeoning research trend due to its significant impact on speech signal quality and daily life. ANC technology is prevalent for its effectiveness against low-frequency and non-stationary noise. This paper revisits the evolution of ANC, from early concepts to modern algorithms like LMS, XLMS, and FXLMS, which have shown promise yet face limitations, particularly with internal and external dual-channel noise. In practical scenarios, receiving end noise comprises internal noise in speech and external environmental noise. Current ANC algorithms focus on external nois

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3

Lovstedt, Stephan P., Jared K. Thomas, Scott D. Sommerfeldt, and Jonathan D. Blotter. "Genetic Algorithm Applied to the Eigenvalue Equalization Filtered-x LMS Algorithm (EE-FXLMS)." Advances in Acoustics and Vibration 2008 (May 8, 2008): 1–12. http://dx.doi.org/10.1155/2008/791050.

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The FXLMS algorithm, used extensively in active noise control (ANC), exhibits frequency-dependent convergence behavior. This leads to degraded performance for time-varying tonal noise and noise with multiple stationary tones. Previous work by the authors proposed the eigenvalue equalization filtered-x least mean squares (EE-FXLMS) algorithm. For that algorithm, magnitude coefficients of the secondary path transfer function are modified to decrease variation in the eigenvalues of the filtered-x autocorrelation matrix, while preserving the phase, giving faster convergence and increasing overall

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4

Mouli, A. Chandra, and Ch Ratnam. "A Novel Approach to Active Noise Control using Normalized Clipped Adaptive Algorithm." International Journal of Manufacturing, Materials, and Mechanical Engineering 3, no. 3 (2013): 76–88. http://dx.doi.org/10.4018/ijmmme.2013070105.

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In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of the familiar Filtered X Least Mean Square (FXLMS) algorithm. In FXLMS the vector of past inputs is first filtered by the secondary path transfer function, hence it is named as filtered X LMS. These modif

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5

Song, Pucha, Kang Yan, and Li Luo. "A Robust Filtered-x Least Mean Square Algorithm with Adjustable Parameters for Active Impulsive Noise Control." Symmetry 16, no. 8 (2024): 1031. http://dx.doi.org/10.3390/sym16081031.

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In active noise control (ANC) systems, the traditional filtered-x least mean square (FxLMS) algorithm has poor control effect on impulsive noise. To overcome this drawback, a robust cost function was designed in this paper by embedding the cost function of the FxLMS algorithm into the framework of hyperbolic tangent function; this paper thus proposes a robust filtered-x least hyperbolic tangent (FxLHT) algorithm in ANC systems. Moreover, the value of λ in the FxLHT algorithm greatly affects the robustness and convergence performance of the algorithm. Therefore, a variable λ-parameter was propo

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Zhang, Feng, Yi Nong Li, and Lei Wang. "Implementation of FxLMS Algorithm Based on Level-2 S-Function and Behavior Analysis." Advanced Engineering Forum 2-3 (December 2011): 640–44. http://dx.doi.org/10.4028/www.scientific.net/aef.2-3.640.

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Active vibration control use an active force from secondary path to suppress or attenuate periodic or quasi-periodic vibration and noises, one of the popular control algorithms is filtered-x least mean square (FxLMS) adaptive method. Based on structure of FxLMS algorithm, the paper uses Level-2 S-fun to create a new FxLMS blocks in Matlab/Simulink and apply it on vibration active control system simulator. Results of computer simulation showed the custom FxLMS block’s feasibility and control algorithm’s efficiency. On the condition of stabilization, behavior analysis was also taken out by adjus

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7

Li, Tianyou, Sipei Zhao, Kai Chen, and Jing Lu. "A diffusion filtered-x affine projection algorithm for distributed active noise control." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 5 (2023): 3050–57. http://dx.doi.org/10.3397/in_2023_0441.

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The well-known Filtered-x Affine Projection (FxAP) algorithm is usually deemed a better choice than the conventional Filtered-x Least-Mean-Square (FxLMS) algorithm when faster convergence speed is desired in active noise control applications. However, the improvement of its convergence performance is obtained at the expense of increased computational complexity. It is usually unrealistic to regulate multichannel ANC systems using the centralized AP algorithm. Recently, distributed diffusion adaptation schemes over acoustic sensor and actuator networks have been introduced to multichannel ANC s

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KATO, Yoshiki, Ryota SHIMOKURA, Naoto SASAOKA, and Yoji IIGUNI. "Selective noise control by adaptive bandpass filter and secondary aural cartilage source." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 9 (2024): 2513–21. http://dx.doi.org/10.3397/in_2024_3193.

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When a transducer is put on an aural cartilage, the transmitted vibration generates sound in the external auditory canal (i.e., cartilage conduction). Different from conventional earphones, the cartilage conduction technology enables the use of earphones without occluding the canal. However, the opening ears allow both desired sounds (e.g., speech) and unwanted noises to reach the eardrums. To minimize only the noise selectively, our study introduced filtered-x least means square algorithm combined with adaptive bandpass filter (ABF-FxLMS). The ABF-FxLMS stored the narrowband noise separating

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9

Yang, Qingchao, Zhaozhao Ma, and Ruiping Zhou. "A Two-DOF Active-Passive Hybrid Vibration Isolator Based on Multi-Line Spectrum Adaptive Control." Machines 10, no. 10 (2022): 825. http://dx.doi.org/10.3390/machines10100825.

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In order to effectively control the low-frequency vibration of ship machinery, based on the improved multi-line spectrum adaptive control algorithm, a two-degree-of-freedom (two-DOF) active-passive hybrid vibration isolator composed of an electromagnetic actuator, rubber spring, and the hydraulic device is proposed. The dynamic model of the two-DOF vibration isolation system is established and the main control force demand of the vibration isolation system at different damping forces is analyzed. By introducing the improved wavelet packet decomposition algorithm with the Hartley block least me

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10

Sahib, Mouayad A., and Raja Kamil. "Comparison of Performance and Computational Complexity of Nonlinear Active Noise Control Algorithms." ISRN Mechanical Engineering 2011 (September 6, 2011): 1–9. http://dx.doi.org/10.5402/2011/925085.

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Research on nonlinear active noise control (NANC) revolves around the investigation of the sources of nonlinearity as well as the performance and computational load of the nonlinear algorithms. The nonlinear sources could originate from the noise process, primary and secondary propagation paths, and actuators consisting of loudspeaker, microphone or amplifier. Several NANCs including Volterra filtered-x least mean square (VFXLMS), bilinear filtered-x least mean square (BFXLMS), and filtered-s least mean square (FSLMS) have been utilized to overcome these nonlinearities effects. However, the re

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Bai, M. R., and Z. Lin. "Active Noise Cancellation for a Three-Dimensional Enclosure by Using Multiple-Channel Adaptive Control and H∞ Control." Journal of Vibration and Acoustics 120, no. 4 (1998): 958–64. http://dx.doi.org/10.1115/1.2893926.

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Active noise control (ANC) techniques for a three-dimensional enclosure are compared in terms of two control structures and two control algorithms. The multiple-channel filtered-x least-mean-square (FXLMS) algorithm and the H∞ robust control algorithm are employed for controller synthesis. Both feedforward and feedback control structures are compared. The Youla’s parameterization is employed in the formulation of the multiple-channel feedback FXLMS algorithm. The algorithms are implemented using a floating-point digital signal processor (DSP). Experiments are carried out to validate the ANC ap

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Wang, Lei, Kean Chen, Jian Xu, and Xuhua Tian. "Analyzing Convergence of Distributed FxLMS Algorithm." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 38, no. 5 (2020): 944–51. http://dx.doi.org/10.1051/jnwpu/20203850944.

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The distributed FxLMS algorithm based on acoustic sensor networks can solve the problem of the increased computational complexity caused by a large-scale active noise control (ANC) system. Firstly, the distributed algorithm is deduced theoretically. In the ANC process based on sensor networks, the iteration of partial weight coefficients is replaced by the real-time communication of weight coefficients among nodes. Then the convergence characteristics of the distributed algorithm in its mean and mean square senses are analyzed and verified with simulation. Finally, the noise reduction effects

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13

Zhang, Feng, Weihao Sun, Chao Liu, Hongchao Xiao, and Yong Zhang. "Application of Multichannel Active Vibration Control in a Multistage Gear Transmission System." Shock and Vibration 2022 (February 10, 2022): 1–14. http://dx.doi.org/10.1155/2022/9970106.

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Gears are the most important parts of rotating machinery and power transmission devices. When gears are engaged in meshing transmission, vibration will occur due to factors such as gear machining errors, meshing rigidity, and meshing impact. The traditional FxLMS algorithm, as a common active vibration algorithm, has been widely studied and applied in gear transmission system active vibration control in recent years. However, it is difficult to achieve good performance in convergence speed and convergence precision at the same time. This paper proposes a variable-step-size multichannel FxLMS a

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14

Fang, Yubin, Xiaojin Zhu, Jiaming Hu, Zhiyuan Gao, and Hesheng Zhang. "Multi-frequency micro-vibration control with hybrid adaptive control algorithm." Transactions of the Institute of Measurement and Control 42, no. 7 (2020): 1417–26. http://dx.doi.org/10.1177/0142331219891578.

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As a popular adaptive algorithm for active vibration control (AVC), filtered-x least mean square (FxLMS) algorithm sometimes fails to suppress multiple narrowband disturbance. To control multi-frequency structure vibration, parallel-form FxLMS algorithm can be employed. However, the conventional parallel-form FxLMS does not perform well in the situation of disturbance frequency mismatch and wideband measurement noise. For this issue, the majority of the improvement approaches are based on adaptive frequency estimator. It increased the computational burden of the parallel-form FxLMS algorithm.

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15

Li, Weiguang, Wei Wang, Bin Li, and Zhichun Yang. "Error Signal Differential Term Feedback Enhanced Variable Step Size FxLMS Algorithm for Piezoelectric Active Vibration Control." Shock and Vibration 2020 (November 6, 2020): 1–10. http://dx.doi.org/10.1155/2020/8832467.

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FxLMS (Filtered-x Least Mean Square) algorithm is widely used in the field of AVC (active vibration control) for its good convergence and strong adaptability. However, the convergence rate and steady-state error are mutually restricted for the fixed step FxLMS algorithm. Increasing step size μ to accelerate the convergence rate will result in larger steady-state error and even cause control divergence. In this paper, a new DVSFxLMS (error signal Differential term feedback Variable Step size FxLMS) algorithm is proposed by establishing nonlinear function between μ and error signal, while using

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16

Li, Yan, Lin He, and Chang Geng Shuai. "Nonlinearity of Maglev Actuator and Adaptive Vibration Control Using Improved FxLMS Algorithm." Applied Mechanics and Materials 390 (August 2013): 434–39. http://dx.doi.org/10.4028/www.scientific.net/amm.390.434.

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Maglev actuator is excellent for active vibration isolation, with non-contact form, low stiffness and rapid response. However, the actuators nonlinearity has to be restrained by the control algorithm. In this paper, the nonlinearity of maglev actuator was studied through theoretical analysis and experiment. An improved multi-channel FxLMS(filtered-x least mean square) algorithm was proposed, which considers the nonlinearity-induced harmonic frequency as extra line-spectrum excitation to control. Experiments showed that the improved FxLMS algorithm could efficiently compensate the nonlinearity

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17

Juang, Shuang, Lie Cao, Hui Guo, Yansong Wang, Yuan Tao, and Ningning Liu. "A nonlinear noise active control algorithm based on deep neural network." Noise Control Engineering Journal 72, no. 4 (2024): 337–46. http://dx.doi.org/10.3397/1/377224.

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To solve the problem that the traditional filter-x least mean square (FxLMS) algorithm and the correlation variable step FxLMS algorithms cannot handle nonlinear interference, a nonlinear noise active control algorithm based on deep neural network (DNN) is proposed. First, nonlinear interference between the acoustic channel and the secondary loudspeaker is introduced into the active noise control system. Second, the training objectives and loss functions of the deep neural network are set, and the network parameters are trained. Finally, a simulation of the active noise control in the local wo

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18

Kurczyk, Sebastian, and Marek Pawelczyk. "Active Noise Control Using a Fuzzy Inference System Without Secondary Path Modelling." Archives of Acoustics 39, no. 2 (2015): 243–48. http://dx.doi.org/10.2478/aoa-2014-0028.

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Abstract For many adaptive noise control systems the Filtered-Reference LMS, known as the FXLMS algorithm is used to update parameters of the control filter. Appropriate adjustment of the step size is then important to guarantee convergence of the algorithm, obtain small excess mean square error, and react with required rate to variation of plant properties or noise nonstationarity. There are several recipes presented in the literature, theoretically derived or of heuristic origin. This paper focuses on a modification of the FXLMS algorithm, were convergence is guaranteed by changing sign of t

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19

Tabatabaei Ardekani, I., and W. H. Abdulla. "Theoretical convergence analysis of FxLMS algorithm." Signal Processing 90, no. 12 (2010): 3046–55. http://dx.doi.org/10.1016/j.sigpro.2010.05.009.

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20

Kang, Min Sig. "FxLMS Algorithm for Active Vibration Control of Structure By Using Inertial Damper with Displacement Constraint." Journal of the Korea Institute of Military Science and Technology 24, no. 5 (2021): 545–57. http://dx.doi.org/10.9766/kimst.2021.24.5.545.

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Engine is the main source of vibration that generates unwanted noise and vibration of vehicle chassis. Especially, in submarine applications, radiation of noise signatures can be detected at some distance away from the submarine using a sonar array. Thus quiet operation is crucial for submarine’s survivability. This study addresses reduction of the force transmissibility originating from engines and transmitted to hull through engine mounts. An inertial damper, as an actuator of hybrid mount system, is addressed to reduce even further the level of vibration. Narrow band FxLMS algorithms are br

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21

SUNDAY, ADETONA, SALAWU RAIFU, and ALABI MORUF. "MODELING AND SIMULATION OF A DUAL CHANNEL ACTIVE NOISE CONTROL SYSTEM FOR POWER TRANSFORMER USING FXLMS ALGORITHM." Journal of Engineering Studies and Research 27, no. 2 (2021): 7–16. http://dx.doi.org/10.29081/jesr.v27i2.266.

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Power transformers are known to generate noise, however, active noise emanating from power transformers many at time is unbearable and has been a subject of concern overtime in power engineering. Several studies on it have principally centered on single channel active noise controller (scANC) using fixed step size, which are characterized with the problems such as signal congestion and instability. This study, therefore, employed Filtered-X Least Mean Square (FXLMS) on a dual channel active noise controller (dcANC) using variable step-size. The noise emanating from a 100 MVA, 132/33 kV power t

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22

TARINGOO, F., J. POSHTAN, A. NASIRI, and M. H. KAHAE. "DESIGN OF DECOUPLING ACTIVE NOISE CONTROL SYSTEMS." Journal of Circuits, Systems and Computers 15, no. 04 (2006): 521–36. http://dx.doi.org/10.1142/s0218126606003337.

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In this paper a simple method for multi-channel Active Noise Control (ANC) is introduced. The proposed structure is a combination of an adaptive FIR filter, based on the FXLMS algorithm, and the ALIGN algorithm resulting in a decoupled matrix for secondary path transfer function. This structure thus converts a multi-channel ANC system to decoupled systems which results in the reduction in computational load without affecting the convergence behavior of the FXLMS system.

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23

Pike, Xander, and Jordan Cheer. "Limitations of FxLMS in Feedforward Active Vibration Control of a Nonlinear Two-Degree-of-Freedom System." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 2 (2023): 5219–29. http://dx.doi.org/10.3397/in_2022_0761.

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Active control systems are often used to surmount the challenges associated with passive noise and vibration control measures to control low frequency disturbances, since they achieve control without the application of large or heavy control treatments. Historically, linear active control strategies have been used in feedforward control systems to drive the control source to minimise the signal measured at the error sensor. Amongst the various control algorithms available, the Filtered-reference Least Mean Squares (FxLMS) algorithm has become extremely popular in the last few decades due to it

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Yu, Qianqian, and Erming Cao. "Active Control for Marine Engine Room Noise Using an FXLMS Algorithm." Scientific Programming 2022 (August 18, 2022): 1–11. http://dx.doi.org/10.1155/2022/8372929.

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The noise in the marine engine room has always been a major cause of disturbance and damage to sailors’ physical and mental health; however, the antinoise countermeasures were being ignored by the industry. To further reduce the noise in the marine engine room, the system structure of active noise control (ANC) and the theoretical basis of the least mean square (LMS) and filtered X least mean square (FXLMS) algorithm are studied. Based on the FXLMS algorithm ANC system, the simulation study of active noise control in the marine engine room of a multigas carrier is carried out. According to the

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Zhang, Feng, Yi Nong Li, and Lei Wang. "Behavior Analysis of FxLMS Based on Deterministic Signal." Advanced Materials Research 403-408 (November 2011): 3262–66. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3262.

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In active vibration control, most of the signals to be eliminated are deterministic signals. Simulations are carried out using periodic sinusoidal reference signal based on FxLMS algorithm. Based on a deterministic reference signal input conditions, the paper provides a detailed behavior analysis due to the secondary-path model error and phase delay, the results will give theoretical basis by adjusting the FxLMS algorithm parameters to ensure convergence and to achieve the best control performance in practical applications.

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26

Yang, Lihua, Weipeng Gao, Jun Yang, Bo Zhao, and Libin Liu. "A Novel Active Control Strategy with Decentralized Decoupling and Wavelet Packet Transformation: Design and Verification." Applied Sciences 11, no. 8 (2021): 3554. http://dx.doi.org/10.3390/app11083554.

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Active vibration control (AVC) can solve many vibration problems. However, structural vibration in underwater vehicles often involves other factors such as complex excitation and path coupling, etc. At present, the traditional algorithm (e.g., multi Filtered-x Least Mean Square, M-FxLMS) usually cannot effectively process the multi-frequency excitation and the coupling effects of the multi-secondary path, which will affect its convergence and stability to a certain extent. Consequently, a novel strategy is presented in this paper, namely, the wavelet packet transformation decentralized decoupl

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27

Qiu, Xiaojun, and Colin H. Hansen. "A Modified Filtered-X LMS Algorithm for Active Control of Periodic Noise with On-Line Cancellation Path Modelling." Journal of Low Frequency Noise, Vibration and Active Control 19, no. 1 (2000): 35–46. http://dx.doi.org/10.1260/0263092001492787.

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The filtered-x LMS algorithm (FXLMS) has been successfully applied to the active control of periodic and random noise and vibration. This paper presents a modified algorithm for active control of periodic noise based on the FXLMS algorithm which uses random noise for on-line cancellation path transfer function (CPTF) estimation. In the proposed algorithm, another two short adaptive filters are introduced. One is an adaptive noise cancellation filter, which is used to improve the convergence speed of the CPTF modelling filter in the presence of very large amplitude primary noise by cancelling t

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Liu, Ningning, Yuedong Sun, Yansong Wang, et al. "Active control for vehicle interior noise using the improved iterative variable step-size and variable tap-length LMS algorithms." Noise Control Engineering Journal 67, no. 6 (2019): 405–14. http://dx.doi.org/10.3397/1/376737.

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Active noise control (ANC) is used to reduce undesirable noise, particularly at low frequencies. There are many algorithms based on the least mean square (LMS) algorithm, such as the filtered-x LMS (FxLMS) algorithm, which have been widely used for ANC systems. However, the LMS algorithm cannot balance convergence speed and steady-state error due to the fixed step size and tap length. Accordingly, in this article, two improved LMS algorithms, namely, the iterative variable step-size LMS (IVS-LMS) and the variable tap-length LMS (VT-LMS), are proposed for active vehicle interior noise control.

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Lee, Hakjun, and Youngjin Park. "Active Noise Control Algorithm with Saturated Actuator." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 4 (2021): 2896–904. http://dx.doi.org/10.3397/in-2021-2254.

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Active noise control system has received its attention in various technical field such as headphone, motor vehicle, etc. Meanwhile, filtered-x least mean square (FxLMS) algorithm is conventional linear algorithm used in active noise control system. It assumes that acoustic path from the noise source and control source to target area are linear. However, in actual system, the secondary path including a D/A converter, an amplifier, and an actuator may exhibits nonlinear distortion like saturation effects. To cope with this nonlinear effects, functional link artificial neural network (FLANN) has

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Wang, Lei, Kean Chen, Jian Xu, and Wang Qi. "Simplified fast transversal filter algorithms for multichannel active noise control." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 2 (2021): 4683–91. http://dx.doi.org/10.3397/in-2021-2793.

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In recent years, more attention has been paid to the performance of algorithm in active noise control (ANC). Compared with filtered-x LMS (FxLMS) algorithm based on stochastic gradient descent, filtered-x RLS (FXRLS) algorithm has faster convergence speed and better tracking performance at the cost of high computational complexity. In order to reduce the computation, fast transversal filter (FTF) algorithm can be used in ANC system. In this paper, simplified multi-channel FXFTF algorithms are presented, and the convergence speed and noise reduction performance of different multichannel algorit

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Li, Tianyou, Li Rao, Sipei Zhao, Hongji Duan, Jing Lu, and Ian S. Burnett. "An augmented diffusion algorithm with bidirectional communication for a distributed active noise control system." Journal of the Acoustical Society of America 154, no. 6 (2023): 3568–79. http://dx.doi.org/10.1121/10.0022573.

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Recent studies on diffusion adaptation for distributed active noise control (DANC) systems have attracted significant research interest due to their balance between computational burden and stability compared to conventional centralized and decentralized adaptation schemes. The conventional multitask diffusion FxLMS algorithm assumes that the converged solutions of all control filters are consistent to each other, which is unrealistic in practice hence results in inferior performance in noise reduction. An augmented diffusion FxLMS algorithm has been proposed to overcome this problem, which ad

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32

Huynh, Minh-Canh, and Cheng-Yuan Chang. "Nonlinear Neural System for Active Noise Controller to Reduce Narrowband Noise." Mathematical Problems in Engineering 2021 (May 29, 2021): 1–10. http://dx.doi.org/10.1155/2021/5555054.

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Noise in a dynamic system is practically unavoidable. Today, such noise is commonly reduced using an active noise control (ANC) system with the filtered-x least mean square (FXLMS) algorithm. However, the performance of the ANC system with FXLMS algorithm is significantly impaired in nonlinear systems. Therefore, this paper develops an efficient nonlinear adaptive feedback neural controller (NAFNC) to eliminate narrowband noise for both linear and nonlinear ANC systems. The proposed controller is implemented to update its coefficients without prior offline training by neural network. Hence, th

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Fan, Rang-Lin, Pu Wang, Chen Han, Li-Jun Wei, Zi-Jian Liu, and Pei-Ju Yuan. "Summarisation, Simulation and Comparison of Nine Control Algorithms for an Active Control Mount with an Oscillating Coil Actuator." Algorithms 14, no. 9 (2021): 256. http://dx.doi.org/10.3390/a14090256.

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With the further development of the automotive industry, the traditional vibration isolation method is difficult to meet the requirements for wide frequency bands under multiple operating conditions, the active control mount (ACM) is gradually paid attentions, and the control algorithm plays a decisive role. In this paper, the ACM with oscillating coil actuator (OCA) is taken as the object, and the comparative study of the control algorithms is performed to select the optimal one for ACM. Through the modelling of ACM, the design of controller and the system simulations, the force transmission

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Kwon, Semin, Bo-Seung Kim, and Junhong Park. "Active Noise Reduction with Filtered Least-Mean-Square Algorithm Improved by Long Short-Term Memory Models for Radiation Noise of Diesel Engine." Applied Sciences 12, no. 20 (2022): 10248. http://dx.doi.org/10.3390/app122010248.

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This study presents an active noise control (ANC) algorithm using long short-term memory (LSTM) layers as a type of recurrent neural network. The filtered least-mean-square (FxLMS) algorithm is a widely used ANC algorithm, where the noise in a target area is reduced through a control signal generated from an adaptive filter. Artificial intelligence can enhance the reduction performance of ANC for specific applications. An LSTM is an artificial neural network for recognizing patterns in arbitrarily long sequence data. In this study, an ANC controller consisting of LSTM layers based on deep neur

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35

Zhang, Dayu, and Cong Guan. "Active Vibration Control of Robot Gear System Based on Adaptive Control Algorithm." Journal of Sensors 2022 (July 4, 2022): 1–8. http://dx.doi.org/10.1155/2022/4481296.

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With the aim of solving the errors of gear transmission system in the actual manufacturing process, processing and installation, and solving the the vibration and noise of the gear system caused by the deformation brought about by external excitation such as motor load and actuator, which seriously threaten the safety and stability of unit equipment, a novel active vibration suppression structure of multistage gear system with built-in piezoelectric actuator is designed to generate active control force, and it can be used on the shaft. An active controller is designed and established using FxL

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LI, Weiguang, Zhichun YANG, and Ximing ZHU. "Experimental study on the piezoelectric active vibration reduction system of wind tunnel aerodynamic models." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 43, no. 1 (2025): 58–65. https://doi.org/10.1051/jnwpu/20254310058.

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During the wind tunnel model aerodynamic test, the slender cantilever model tail support system is susceptible to low-frequency and high-amplitude resonance caused by airflow separation and turbulence, which has a significant impact on test data quality. To effectively suppress the flow-induced vibration response of wind tunnel models, a hybrid control algorithm combining the filtered-x least mean square (FxLMS) algorithm and the linear active disturbance rejection control (LADRC) controller is proposed. Subsequently, the corresponding controller is designed to build a piezoelectric active vib

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Wu, Cai Yun. "Speech Enhancement System Based on Lyapunov FXLMS Algorithm." Advanced Materials Research 490-495 (March 2012): 1670–74. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1670.

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This paper studies the speech enhancement technology. A Lyapunov function of the tracking error systems is defined, and the adaptive filter based on FXLMS algorithm can make the error converge to zero asymptotically. It is shown to be suitable to solve the problem of the speech enhancement from computer simulations

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Mendez, Diego, David Arevalo, Diego Patino, Eduardo Gerlein, and Ricardo Quintana. "Parallel Architecture of Reconfigurable Hardware for Massive Output Active Noise Control." Parallel Processing Letters 29, no. 03 (2019): 1950014. http://dx.doi.org/10.1142/s0129626419500142.

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Filtered-x Least Mean Squares (FxLMS) is an algorithm commonly used for Active Noise Control (ANC) systems in order to cancel undesired acoustic waves from a sound source. There is a small number of hardware designs reported in the literature, that in turn only use one reference signal, one error signal and one output control signal. In this paper, it is proposed a 3-dimensional hardware-based version of the widely used FxLMS algorithm, using one reference microphone, 18 error microphones, one output and a FIR filter of 400[Formula: see text] order. The FxLMS algorithm was implemented in a Xil

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Kim, Young-Min, Hyun-Do Nam, Young-Jin Lee, and Kwon-Soon Lee. "Active Noise Control of Induction Motor using Co-FXLMS Algorithm." Transactions of The Korean Institute of Electrical Engineers 61, no. 10 (2012): 1489–95. http://dx.doi.org/10.5370/kiee.2012.61.10.1489.

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Chung, Ik Joo. "Multi-channel normalized FxLMS algorithm for active noise control." Journal of the Acoustical Society of Korea 35, no. 4 (2016): 280–87. http://dx.doi.org/10.7776/ask.2016.35.4.280.

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Zheng, Hongbo, Hui Qin, Mingke Ren, and Zhiyi Zhang. "Active vibration control for the time-varying systems with a new adaptive algorithm." Journal of Vibration and Control 26, no. 3-4 (2019): 200–213. http://dx.doi.org/10.1177/1077546319878297.

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This paper proposes a new adaptive algorithm for the active vibration control of time-varying systems in the presence of broadband or narrowband disturbances. The new algorithm combines the conventional filtered-x least mean square algorithm with the recursive prediction error (RPE) algorithm after the gradient modification of the RPE algorithm. The modified RPE algorithm is used to estimate the model of the control path online. The well-known filtered-x least mean square (FxLMS) algorithm is effective for the uncertain or time-varying systems, and adopts an auxiliary white noise approach to e

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Yang, Xu, and Tian Ran Lin. "An active noise control algorithm based on an improved convex combination loop." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A121. http://dx.doi.org/10.1121/10.0022986.

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The conflict between a faster convergence using a Filtered-X Least Mean Square (FXLMS) algorithm and the requirement of a small steady-state error of an adaptive active control (ANC) system which limits its performance in terms of computation efficiency and the control error. The problem can be solved by using two paralleling adaptive filters to form a convex combination loop in the control system. However, the exponential weight function used in the original convex combination loop design can consume a large computer power which has limited its application. As a result, a new weight function

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Yan, Suqing, Xiaonan Luo, Xiyan Sun, Jianming Xiao, and Jingyue Jiang. "Indoor Acoustic Signals Enhanced Algorithm and Visualization Analysis." Computational Intelligence and Neuroscience 2021 (July 31, 2021): 1–13. http://dx.doi.org/10.1155/2021/7592064.

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A pure acoustic signal can be easy to realize signal analysis and feature extraction. However, the surrounding noises will affect the content of acoustic signals as well as auditory fatigue to the audience. Therefore, it is vital to overcome the problem of noises that affect the acoustic signal. An indoor acoustic signal enhanced method based on image source (IS) method, filtered-x least mean square (FxLMS) algorithm, and the combination of Delaunay triangulation and fuzzy c-means (FCM) clustering algorithm is proposed. In the first stage of the proposed system, the IS method was used to simul

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Heo, Junyeong, Seungmin Shin, Jaebin Cha, et al. "An Efficient Narrowband FxLMS Algorithm for A 3-Axis Active Mount." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 5 (2023): 3907–15. http://dx.doi.org/10.3397/in_2023_0558.

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The Active Mount (AM) controls the vibrations caused by the movement of a mechanical system resting on top of it. Vibration caused by mechanical systems often consists of several dominant frequency components. Therefore, we need an adaptive algorithm controlling tonal vibration components effectively. The FxLMS algorithm widely used for active vibration control raises several issues as the tone number and control channel increase. This paper proposes an efficient narrowband FxLMS algorithm for controlling multiple tonal vibrations occurring in a 3-axis AM. To this end, the secondary path's mag

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Esmailzadeh, E., A. Alasty, and A. R. Ohadi. "Hybrid Active Noise Control of a One-Dimensional Acoustic Duct." Journal of Vibration and Acoustics 124, no. 1 (2001): 10–18. http://dx.doi.org/10.1115/1.1400117.

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Based on the closed-form solution of a one-dimensional wave equation, the primary, secondary and acoustic feedback paths for the active control of sound in an acoustic duct have been investigated. Accurate models for the condenser microphone and loudspeaker, which include both the electro-mechanical and mechano-acoustical couplings as well as acoustical damping, have been considered. A generalized form of the filtered-x least mean square (FXLMS) algorithm that uses a more general recursive adaptive weight update equation to improve the performance of the FXLMS algorithm has been developed. Com

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Akhtar, Muhammad T. "An adaptive algorithm, based on modified tanh non-linearity and fractional processing, for impulsive active noise control systems." Journal of Low Frequency Noise, Vibration and Active Control 37, no. 3 (2017): 495–508. http://dx.doi.org/10.1177/1461348417725952.

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This paper presents an adaptive algorithm for active control of noise sources that are of impulsive nature. The impulsive type sources can be better modeled as a stable distribution than the Gaussian. However, for stable distributions, the variance (second order moment) is infinite. The standard adaptive filtering algorithms, which are based on minimizing variance and assuming Gaussian distribution, converge slowly or become even unstable for stable (impulsive) processes. In order to improve the performance of the standard filtered-x least mean square (FxLMS)-based impulsive active noise contr

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Wang, Lei, Yi Nong Li, Feng Zhang, and Qing Zhong Ding. "Experimental Study on Active Vibration Control of a Gear Pair System Based on FxLMS Algorithm." Advanced Materials Research 562-564 (August 2012): 532–35. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.532.

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To treat gear pair vibration due to internal excitation, an active internal gearbox structure near the gear pair is developed based on an active shaft transverse vibration control concept in the effort to tackle the gear excitation problem more directly. A controller of the FxLMS algorithm combined with frequency estimation technique is designed. And it is evaluated based on the experimental setup of the active gearbox vibration control system in contrast to fuzzy-PD controller. The experimental results show that 9.94dB attenuation in the gearbox housing vibration response can be achieved at t

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Yang, Feiran, Yin Cao, Ming Wu, Felix Albu, and Jun Yang. "Frequency-Domain Filtered-x LMS Algorithms for Active Noise Control: A Review and New Insights." Applied Sciences 8, no. 11 (2018): 2313. http://dx.doi.org/10.3390/app8112313.

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This paper presents a comprehensive overview of the frequency-domain filtered-x least mean-square (FxLMS) algorithms for active noise control (ANC). The direct use of frequency-domain adaptive filters for ANC results in two kinds of delays, i.e., delay in the signal path and delay in the weight adaptation. The effects of the two kinds of delays on the convergence behavior and stability of the adaptive algorithms are analyzed in this paper. The first delay can violate the so-called causality constraint, which is a major concern for broadband ANC, and the second delay can reduce the upper bound

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Liu, Yan, and Zhichun Lei. "Review of Advances in Active Impulsive Noise Control with Focus on Adaptive Algorithms." Applied Sciences 14, no. 3 (2024): 1218. http://dx.doi.org/10.3390/app14031218.

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Mitigating low-frequency noise in various industrial applications often involves the use of the filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error criterion. This algorithm has demonstrated effectiveness in reducing noise induced by Gaussian noise within noise control systems. However, the performance of this algorithm experiences significant degradation and does not converge properly in the presence of impulsive noise. Consequently, to uphold the stability of the ANC system, several robust adaptive algorithms tailored to handle shock noise interference have b

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Ramos Lorente, Pedro, Raúl Martín Ferrer, Fernando Arranz Martínez, and Guillermo Palacios-Navarro. "Modified Filtered-X Hierarchical LMS Algorithm with Sequential Partial Updates for Active Noise Control." Applied Sciences 11, no. 1 (2020): 344. http://dx.doi.org/10.3390/app11010344.

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In the field of active noise control (ANC), a popular method is the modified filtered-x LMS algorithm. However, it has two drawbacks: its computational complexity higher than that of the conventional FxLMS, and its convergence rate that could still be improved. Therefore, we propose an adaptive strategy which aims at speeding up the convergence rate of an ANC system dealing with periodic disturbances. This algorithm consists in combining the organization of the filter weights in a hierarchy of subfilters of shorter length and their sequential partial updates (PU). Our contribution is threefold

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