Frequency domain active vibration control of a flexible plate based on neural networks

A neural-network (NN)-based active control system was proposed to reduce the low frequency noise radiation of the simply supported flexible plate. Feedback control system was built, in which neural network controller (NNC) and neural network identifier (NNI) were applied. Multi-frequency control in frequency domain was achieved by simulation through the NN-based control systems. A pre-testing experiment of the control system on a real simply supported plate was conducted. The NN-based control algorithm was shown to perform effectively. These works lay a solid foundation for the active vibration control of mechanical structures.

[1]  Huijun Gao,et al.  Robust Sampled-Data $H_{\infty}$ Control for Vehicle Active Suspension Systems , 2010, IEEE Transactions on Control Systems Technology.

[2]  V Rao,et al.  Identification and robust control of smart structures using artificial neural networks , 1994 .

[3]  Amir Khajepour,et al.  Active Control of Structures Using Energy‐Based LQR Method , 2006, Comput. Aided Civ. Infrastructure Eng..

[4]  Jun Wang,et al.  Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks , 2012, IEEE Transactions on Industrial Electronics.

[5]  Zhengjia He,et al.  Simulation and Experimental Investigation of Structural Dynamic Frequency Characteristics Control , 2012, Sensors.

[6]  Ratneshwar Jha,et al.  Neural-network-based adaptive predictive control for vibration suppression of smart structures , 2002 .

[7]  Robert L. Clark,et al.  Active Control of Low Frequency Modes in an Aircraft Fuselage Using Spatially Weighted Arrays , 2000 .

[8]  Okyay Kaynak,et al.  Fuzzy Wavelet Neural Networks for Identification and Control of Dynamic Plants—A Novel Structure and a Comparative Study , 2008, IEEE Transactions on Industrial Electronics.

[9]  Jingjun Zhang,et al.  The Design of LQR Controller Based on Independent Mode Space for Active Vibration Control , 2008, ISICA.

[10]  V Rao,et al.  The adaptive control of smart structures using neural networks , 1994 .

[11]  Amor Jnifene,et al.  Experimental study on active vibration control of a single-link flexible manipulator using tools of fuzzy logic and neural networks , 2005, IEEE Transactions on Instrumentation and Measurement.

[12]  H. N. Chandrawat,et al.  MIMO adaptive vibration control of smart structures with quickly varying parameters: Neural networks vs classical control approach , 2007 .

[13]  D. de Klerk,et al.  Operational transfer path analysis: Theory, guidelines and tire noise application , 2010 .

[14]  Vittal S. Rao,et al.  Robust control of smart structures using neural network hardware , 1997 .

[15]  S. O. Reza Moheimani,et al.  Experimental implementation of extended multivariable PPF control on an active structure , 2006, IEEE Transactions on Control Systems Technology.

[16]  Keshav P. Dahal,et al.  Intelligent Learning Algorithms for Active Vibration Control , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).