Active Noise-Vibration Control using the Filtered-Reference LMS Algorithm with Compensation of Vibrating Plate Temperature Variation

2011 ◽  
Vol 36 (1) ◽  
Author(s):  
Krzysztof Mazur ◽  
Marek Pawełczyk
Keyword(s):  
Vibration Control ◽  
Temperature Variation ◽  
Lms Algorithm ◽  
Plate Temperature ◽  
Active Noise ◽  
Noise Vibration ◽  
Vibrating Plate

Hammerstein Nonlinear Active Noise Control with the Filtered-Error LMS Algorithm

2013 ◽  
Vol 38 (2) ◽  
pp. 197-203 ◽  
Author(s):  
Krzysztof Mazur ◽  
Marek Pawełczyk
Keyword(s):  
Control System ◽  
Noise Control ◽  
Feedforward Control ◽  
Active Noise Control ◽  
Lms Algorithm ◽  
Negative Effects ◽  
Active Noise ◽  
High Reduction ◽  
Filtered Error ◽  
Vibrating Plate

Abstract Active Noise Control (ANC) of noise transmitted through a vibrating plate causes many problems not observed in classical ANC using loudspeakers. They are mainly due to vibrations of a not ideally clamped plate and use of nonlinear actuators, like MFC patches. In case of noise transmission though a plate, nonlinerities exist in both primary and secondary paths. Existence of nonlinerities in the system may degrade performance of a linear feedforward control system usually used for ANC. The performance degradation is especially visible for simple deterministic noise, such as tonal noise, where very high reduction is expected. Linear feedforward systems in such cases are unable to cope with higher harmonics generated by the nonlinearities. Moreover, nonlinearities, if not properly tackled with, may cause divergence of an adaptive control system. In this paper a feedforward ANC system reducing sound transmitted through a vibrating plate is presented. The ANC system uses nonlinear control filters to suppress negative effects of nonlinearies in the system. Filtered-error LMS algorithm, found more suitable than usually used Filtered-reference LMS algorithm, is employed for updating parameters of the nonlinear filters. The control system is experimentally verified and obtained results are discussed.

Controllability-Oriented Placement of Actuators for Active Noise-Vibration Control of Rectangular Plates Using a Memetic Algorithm

2013 ◽  
Vol 38 (4) ◽  
pp. 529-536 ◽  
Author(s):  
Stanisław Wrona ◽  
Marek Pawełczyk
Keyword(s):  
Theoretical Model ◽  
Vibration Control ◽  
Evolutionary Algorithm ◽  
Active Control ◽  
Memetic Algorithm ◽  
Optimal Solution ◽  
Optimization Criterion ◽  
Rectangular Plates ◽  
Active Noise ◽  
Noise Vibration

Abstract For successful active control with a vibrating plate it is essential to appropriately place actuators. One of the most important criteria is to make the system controllable, so any control objectives can be achieved. In this paper the controllability-oriented placement of actuators is undertaken. First, a theoretical model of a fully clamped rectangular plate is obtained. Optimization criterion based on maximization of controllability of the system is developed. The memetic algorithm is used to find the optimal solution. Obtained results are compared with those obtained by the evolutionary algorithm. The configuration is also validated experimentally.

scholarly journals Simulation of active noise reduction using LMS algorithm: synthetic and field data

2021 ◽  
Vol 1951 (1) ◽  
pp. 012042
Author(s):  
Y Feriadi ◽  
Basir ◽  
Sahran ◽  
M Taufiq ◽  
AY Atmojo
Keyword(s):  
Noise Reduction ◽  
Field Data ◽  
Lms Algorithm ◽  
Active Noise ◽  
Active Noise Reduction

scholarly journals Modified Filtered-X Hierarchical LMS Algorithm with Sequential Partial Updates for Active Noise Control

2020 ◽  
Vol 11 (1) ◽  
pp. 344
Author(s):  
Pedro Ramos Lorente ◽  
Raúl Martín Ferrer ◽  
Fernando Arranz Martínez ◽  
Guillermo Palacios-Navarro
Keyword(s):  
Computational Complexity ◽  
Convergence Rate ◽  
Noise Control ◽  
Active Noise Control ◽  
Adaptive Strategy ◽  
Lms Algorithm ◽  
Step Size ◽  
Periodic Disturbances ◽  
Active Noise ◽  
Dependent Parameter

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: (1) we provide the theoretical basis of the existence of a frequency-dependent parameter, called gain in step-size. (2) The theoretical upper bound of the step-size is compared with the limit obtained from simulations. (3) Additional experiments show that this strategy results in a fast algorithm with a computational complexity close to that of the conventional FxLMS.

Active Rejection of Harmonic Disturbances with Nonstationary Harmonically Related Frequencies Using Varying-Sampling-Time LPV Control

2016 ◽  
Vol 248 ◽  
pp. 19-26
Author(s):  
Xin Yu Shu ◽  
Pablo Ballesteros ◽  
Christian Bohn
Keyword(s):  
Vibration Control ◽  
Fundamental Frequency ◽  
Sampling Time ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Noise And Vibration ◽  
Active Noise ◽  
Lpv Control ◽  
Parameter Varying ◽  
Time Linear

This paper presents a method for the active noise and vibration control (ANC/AVC) of harmonically related nonstationary disturbances using varying-sampling-time linear parameter-varying (LPV) controller. The frequencies are assumed to be known and varying within given ranges and they are multiples of one fundamental frequency.

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