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|Title:||Robust design of active noise control system on a spray dryer exhaust|
|Citation:||Proceedings of Active 2002: The 2002 International Symposium on Active Control of Sound and Vibration / Paolo Gardonio, Boaz Rafaely (eds.): pp.749-760|
|Publisher:||Institute of Sound and Vibration|
|Publisher Place:||University of Southampton, UK|
|Conference Name:||International Symposium on Active Control of Sound and Vibration (2002 : Southampton, U.K.)|
|Xiaojun Qiu, Xun Li, Damien J.J. Leclercq, Anthony C. Zander, Colin D. Kestell and Colin H. Hansen|
|Abstract:||Previous studies of active noise control systems [1, 2] have shown the effects that plant and disturbance uncertainties have on optimizing the locations of actuators and sensors. The effects of plant and disturbance uncertainties on multichannel feedforward control systems have also been investigated, and it has been shown that these uncertainties can lead to instability or sub-optimal performance . Using a similar methodology here, the effect of various plant and disturbance uncertainties on the performance of an active noise control (ANC) system for a spray dryer exhaust is investigated. The objective of the ANC system described here is to reduce the noise radiated to surrounding communities from the exhaust outlet of spray dryer facilities used for making powered milk. The noise is dominated by a single tone at a frequency corresponding to the fan blade passing frequency. The exhaust duct is about 18 meters long and has a diameter of 1.6 meters with the cut-on frequency of about 134Hz at 65Â°C. When the fan is running, the dominant blade pass frequency is around 180Hz, so higher order cylindrical duct modes had to be considered. The active noise control system uses a feedforward structure to control tonal noise, where the reference signal is obtained by attaching a magnetic sensor on the fan shaft. The number and locations of the control sources and error sensors has been optimized to achieve global control , and the robustness of such an arrangement under different plant and disturbance uncertainties will not be considered here. Only the behaviour of the control algorithm under such uncertainties will be discussed. The primary noise was characterized by 8 microphones, which are located at more than 10 meters downstream of the fan. The variation of the amplitude and phase of the primary fan noise (disturbance) at its peak frequency were measured. The variation of the cancellation path transfer functions (plant) between 4 control sources (loudspeakers) and the 8 microphones under different situations are also measured. The goal of the controller design is for an adaptive algorithm, which uses the 4 control sources, to generate control signals to reduce the tonal component of the noise at the 8 error sensors, and the controller should be able to maintain stability under most situations.|
|Appears in Collections:||Mechanical Engineering conference papers|
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