Chapter
Apr 26, 2012
Vehicle Interior Multi-Channel Active Noise Control Systems Based on Neural Network Model
Authors: Xue-guang Liu [email protected], Zhong-feng Gao, Zhi-gang Liu, and Bin XiaoAuthor Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
To solve the coupling between the each channel of the vehicle interior active noise control system, an active control method of multi-channel based on neural network model is proposed in this paper. The theory of this method is researched and the simulation of this method is analyzed by using the matlab/simlink toolbox. Vehicle interior active noise control experiments of dual-channel are carried out. The results show that the noise sound pressure level which in the local space around the driver's and copilot's ear positions is reduced by 10∼14dB(Lin).
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Copyright
© 2007 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Active control
- Artificial intelligence and machine learning
- Channels (waterway)
- Computer programming
- Computing in civil engineering
- Control systems
- Coupling
- Driver behavior
- Engineering fundamentals
- Environmental engineering
- Highway transportation
- Hydraulic engineering
- Hydraulic structures
- Infrastructure
- Neural networks
- Noise pollution
- Pollution
- Structural control
- Structural engineering
- Structural health monitoring
- Structural members
- Structural systems
- Systems engineering
- Systems management
- Traffic engineering
- Transportation engineering
- Vehicles
- Water and water resources
- Waterways
Authors
Affiliations
College of Power and Energy Engineering, Harbin Engineering University, Harbin, 150001. E-mail: [email protected]
Zhong-feng Gao
College of Power and Energy Engineering, Harbin Engineering University, Harbin, 150001
Zhi-gang Liu
College of Power and Energy Engineering, Harbin Engineering University, Harbin, 150001
Bin Xiao
College of Power and Energy Engineering, Harbin Engineering University, Harbin, 150001
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