Abstract
During the course of Adaptive Active Noise Control (AANC), the final noise canceling effect of the AANC is in close relationship with the arrangements of error sensors. In this paper, the problems of optimizing positions of error sensors have been investigated by using the Genetic Algorithm (GA), and are difficult to he solved by using the conventional gradient search method. The computer simulations show that the optimal positions found by the GA coincide with the results theoretically calculated.
| Original language | English |
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| Pages | 561-563 |
| Number of pages | 3 |
| State | Published - 2000 |
| Event | Proceedings of the 3th World Congress on Intelligent Control and Automation - Hefei, China Duration: 28 Jun 2000 → 2 Jul 2000 |
Conference
| Conference | Proceedings of the 3th World Congress on Intelligent Control and Automation |
|---|---|
| Country/Territory | China |
| City | Hefei |
| Period | 28/06/00 → 2/07/00 |
Keywords
- Adaptive Active Noise Control (AANC)
- Error sensor
- Genetic Algorithm (GA)