期刊
JOURNAL OF VIBROENGINEERING
卷 19, 期 8, 页码 6094-6104出版社
JVE INT LTD
DOI: 10.21595/jve.2017.15195
关键词
passive vibration isolation; magnetostrictive actuator; sliding mode algorithm; neural network; co-simulation
资金
- National Natural Science Funds of China [51579242, 51509253]
- Key Scientific Research Foundation Project of Naval Submarine Academy [42551B1408]
In this paper, an active vibration isolation system based on hybrid algorithm is presented in a wide frequency band. Initially, a nonlinear magnetostrictive actuator model is used to establish the appropriate parameters by experiments, which make the actuator using in vibration isolation system work in a better linear dynamic performance, then the sliding mode algorithm modified by neural network, a hybrid algorithm is proposed as the active control controller, and its stability is also analyzed by Lyapunov theory. Furthermore, a dynamic virtual prototype model of active vibration isolation is established to carry out the co-simulation with Adams and Matlab/Simulink, and the results show that under the difference excitations, the neural network sliding mode controller exhibits a good control performance, and the active vibration isolation can effectively improve the vibration isolation effect, reduce the force transmitted to the base and broaden the vibration isolation bandwidth.
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