1. A multi-reference filtered-x-Newton narrowband algorithm for active isolation of vibration and experimental investigations
- Author
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Lin He, Yan Li, Chun-yu Wang, and Chang-geng Shuai
- Subjects
Engineering ,business.industry ,Frequency band ,Mechanical Engineering ,MIMO ,Aerospace Engineering ,02 engineering and technology ,01 natural sciences ,Computer Science Applications ,Vibration ,020303 mechanical engineering & transports ,Vibration isolation ,Narrowband ,0203 mechanical engineering ,Rate of convergence ,Control and Systems Engineering ,Robustness (computer science) ,Control theory ,0103 physical sciences ,Signal Processing ,Time domain ,business ,010301 acoustics ,Algorithm ,Civil and Structural Engineering - Abstract
In engineering applications, ship machinery vibration may be induced by multiple rotational machines sharing a common vibration isolation platform and operating at the same time, and multiple sinusoidal components may be excited. These components may be located at frequencies with large differences or at very close frequencies. A multi-reference filtered-x Newton narrowband (MRFx-Newton) algorithm is proposed to control these multiple sinusoidal components in an MIMO (multiple input and multiple output) system, especially for those located at very close frequencies. The proposed MRFx-Newton algorithm can decouple and suppress multiple sinusoidal components located in the same narrow frequency band even though such components cannot be separated from each other by a narrowband-pass filter. Like the Fx-Newton algorithm, good real-time performance is also achieved by the faster convergence speed brought by the 2nd-order inverse secondary-path filter in the time domain. Experiments are also conducted to verify the feasibility and test the performance of the proposed algorithm installed in an active-passive vibration isolation system in suppressing the vibration excited by an artificial source and air compressor/s. The results show that the proposed algorithm not only has comparable convergence rate as the Fx-Newton algorithm but also has better real-time performance and robustness than the Fx-Newton algorithm in active control of the vibration induced by multiple sound sources/rotational machines working on a shared platform.
- Published
- 2018