Active Feedback Control Systems of Floor Impulse Noise

2003 ◽  
Author(s):  
Sadao Akishita ◽  
Kei Ameyama ◽  
Atsushi Mitani
Keyword(s):  
Control System ◽  
Control Systems ◽  
Active Control ◽  
Impulse Noise ◽  
Concrete Slab ◽  
Mechanical Vibration ◽  
Low Frequency ◽  
Thin Plates ◽  
Bending Vibration ◽  
Active Control System

This paper describes the active control systems for reducing floor impulse noise. The control system is comprised of actively controlled modular thin plates, which wholly cover the surface of concrete slab structure in the ceiling, and in each of which the mechanical vibration is controlled independently with bimorph type piezoelectric actuators. An active control system of modular plate is presented, where five actuators and five sensors are applied to control low frequency modes of bending vibration in the plate. The control system is now under development, main investigation items of whch are designing of vibration characteristics of modular thin plate, the active control system appropriate to the characteristics and cost reduction of the actuators and sensors.

Simulation of Active Noise Control System on the Truck Interior Cab

2013 ◽  
Vol 798-799 ◽  
pp. 443-447
Author(s):  
Qi Chen LU ◽  
Hui Bin LI ◽  
Hua Huang
Keyword(s):  
Control System ◽  
Control Systems ◽  
Active Control ◽  
Noise Control ◽  
Active Noise Control ◽  
Low Frequency ◽  
Frequency Noise ◽  
Simulink Model ◽  
Active Noise ◽  
Active Control System

Studying on adaptive active noise control (AANC) system of the truck interior cab to reduce the low-frequency noise,a normalization FLMS algorithm simulink model is established in Matlab/Simulink.Then taking it as the core,a feedforward adaptive active control system and a feedback adaptive active control system of the tuck interior cab are established in Matlab/Simulink .Considerating the actual error channels effects on systems ,the noise reduction effects of two adaptive active control systems are verified from the simulintion results.Through comparing the two wo adaptive active control systems,we found that the feedforward adaptive active control system is more stable.

Active control system for low-frequency road noise combined with an audio system

2001 ◽  
Vol 9 (7) ◽  
pp. 755-763 ◽  
Author(s):  
H. Sano ◽  
T. Inoue ◽  
A. Takahashi ◽  
K. Terai ◽  
Y. Nakamura
Keyword(s):  
Control System ◽  
Active Control ◽  
Low Frequency ◽  
Road Noise ◽  
Active Control System ◽  
Audio System

scholarly journals Development of active control system for low frequency road noise: Solutions for practical use and system configuration.

2001 ◽  
Vol 22 (5) ◽  
pp. 378-379
Author(s):  
Hisashi Sano ◽  
Toshio Inoue ◽  
Akira Takahashi ◽  
Tsuyoshi Yamashita ◽  
Mitsuo Nakamura ◽  
...  
Keyword(s):  
Control System ◽  
Active Control ◽  
Low Frequency ◽  
System Configuration ◽  
Road Noise ◽  
Active Control System

Design Method of Semi-Active Control Systems Minimizing the Error Between the Controlled Signals of the Semi-Active and its Reference Active Control Systems

2017 ◽  
Author(s):  
Kazuhiko Hiramoto ◽  
Taichi Matsuoka ◽  
Katsuaki Sunakoda
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Control Systems ◽  
Active Control ◽  
Output Signal ◽  
Error Function ◽  
Quadratic Function ◽  
Control Law ◽  
Lyapunov Matrix ◽  
Active Control System

We propose a semi-active vibration control method of structural systems based on the output emulation approach. In the output emulation approach, the semi-active control law is obtained so that the controlled output signal of the semi-active control system is similar to that of the reference active control system. The reference active control system is a virtual control system employing the actuator for vibration control and achieves the ideal control performance. Because the constraints of the semi-active control comes from the inherent dissipative characteristics of semi-active control devices a certain amount of the error of the controlled output signals between the semi-active and its reference active control system is unavoidable. To realize the semi-active control system based on the output emulation approach, i.e., the semi-active control system whose controlled output signal is similar to that of the reference active control system, the semi-active control law in the present study is obtained for minimizing an error function related to the controlled output. The error function is defined as a quadratic function on the output signal of the error between the semi-active and its reference active control systems and the Lyapunov matrix. The control characteristics of the reference active control law and free parameters in the Lyapunov matrix are searched with a boot-strap optimization algorithm for the optimal semi-active control system. Some simulation results are shown to claim the effectiveness.

Effect of Response Related Weighting Matrices on Performance of Active Control Systems for Nonlinear Frames

2017 ◽  
Vol 17 (03) ◽  
pp. 1750030
Author(s):  
Mohtasham Mohebbi ◽  
Abdolreza Joghataie ◽  
Hamed Rasouli Dabbagh
Keyword(s):  
Control System ◽  
Control Systems ◽  
Active Control ◽  
Structural Response ◽  
Control Law ◽  
Control Force ◽  
Online Measurements ◽  
Active Control System ◽  
Distributed Genetic Algorithm ◽  
Response Feedback

In this paper, the effect of various arrangements of displacement, velocity and acceleration related weighting matrices on the performance of active control systems on nonlinear frames has been studied. Different arrangements of weighting matrices and feedback combinations of the response have been considered to design the active controllers using a single actuator for reducing the response of an eight-storey bilinear hysteretic frame under white noise excitations. The nonlinear Newmark-based instantaneous optimal control algorithm has been used, where the distributed genetic algorithm (DGA) is employed to determine the proper set of weighting matrices. For each set of feedback and weighting matrices, the active control system has been designed with the optimal weights determined. Here, the objective is to minimize the maximum control force required to reduce the maximum structural drift to a value below the desired level. The numerical results of simulation show that, for the cases studied, the use of different arrangements of weighting matrices in the proposed method for the performance index of the active control law has no significant impact on the performance of the active control system. However, the type of response feedback combination included in the control law considerably affects the performance, and the controllers designed based on velocity feedback have been found to be more effective. It was also shown that for all the weight-cases, using the full feedback of response can lead to design controllers that require minimum control force to reduce the structural response with more online measurements. The robustness of the designed controllers for different weighting matrices arrangements and feedback combinations has also been tested under a number of real earthquake excitations with the results discussed.

scholarly journals Passat: A Cubesat Student Design Project For Active Control System Development And Verification

2020 ◽  
Author(s):  
Daniel Rooney ◽  
Mathew Roseman ◽  
Charles Shotridge ◽  
Jeffrey Aschenbrenner ◽  
Sanjay Jayaram
Keyword(s):  
Control System ◽  
Active Control ◽  
System Development ◽  
Design Project ◽  
Active Control System
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