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A hybrid structure adaptive vibration active control strategy
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Yu-liang YANG1, Jun-cheng ZHOU2, Xue-guang LIU1, Yan-yan WANG2, feng FENG2
Journal of Vibration Engineering | 2024, 37(12) : 2086 - 2092
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Journal of Vibration Engineering | 2024, 37(12): 2086-2092
A hybrid structure adaptive vibration active control strategy
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Yu-liang YANG1, Jun-cheng ZHOU2, Xue-guang LIU1, Yan-yan WANG2, feng FENG2
Affiliations
  • 1College of Power and Energy Engineering，Harbin Engineering University，Harbin 150001，China
  • 2Yantai Research Institute，Harbin Engineering University，Yantai 264000，China
Published: 2024-12-28 doi: 10.16385/j.cnki.issn.1004-4523.2024.12.010
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Aiming at the robustness and stability of the vibration active control of motor-driven seawater pumps，a hybrid structure adaptive vibration active control strategy is proposed based on the Kalman filter （KF） algorithm，which establishes the system state prediction equations，state transfer matrix and measurement matrix，and builds a hybrid structure adaptive vibration active control system model. In order to improve the convergence performance of the algorithm，an online update strategy for the measurement noise covariance matrix is proposed. Simulation results show that the new control strategy effectively overcomes the strong correlation between the reference signal and the vibration source based on the classical Filtered x Least Mean Square algorithm （“FxLMS”），and realizes effective vibration active control under the premise that Gaussian white noise is used as the reference signal. The robustness，stability，and control effect of the proposed strategy are all superior to that of the FxLMS algorithm with a variable step size. The results provide theoretical support for engineering practice and have certain potential application value.

active vibration control  /  multi-frequency excitation  /  Kalman filter
Yu-liang YANG, Jun-cheng ZHOU, Xue-guang LIU, Yan-yan WANG, feng FENG. A hybrid structure adaptive vibration active control strategy[J]. Journal of Vibration Engineering, 2024 , 37 (12) : 2086 -2092 . DOI: 10.16385/j.cnki.issn.1004-4523.2024.12.010
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Year 2024 volume 37 Issue 12
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Article Info
doi: 10.16385/j.cnki.issn.1004-4523.2024.12.010
  • Receive Date：2023-07-27
  • Online Date：2026-02-12
  • Published：2024-12-28
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  • Received：2023-07-27
  • Revised：2023-10-10
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Affiliations
    1College of Power and Energy Engineering，Harbin Engineering University，Harbin 150001，China
    2Yantai Research Institute，Harbin Engineering University，Yantai 264000，China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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