Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electronic and Information Engineering | en_US |
| dc.contributor.advisor | Cheung, C. C. (EIE) | en_US |
| dc.creator | Wong, Winston | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/12061 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | A cost-effective DSP-based experimental active noise cancellation controller | en_US |
| dcterms.abstract | Noise can affect everybody. It may lead to irritation, mental stress and hearing loss. Moreover, it may have an impact on quality of life. Acoustic noise cancellation or noise control is the process of controlling and reducing unwanted audible noise. There are two types of noise control, active and passive. Passive noise control is to control noise by using sound absorption materials and mufflers. However, the performance of these techniques may impose obstacles in certain environments. Moreover, the effectiveness of passive noise control in attenuating low-frequency noise is limited. Thus, Active Noise Cancellation (ANC) is a suitable solution. ANC can be found in many applications in attenuating acoustic noise, for example, noise cancellation in air conditioning ducts, in headphones, and inside cars. Most ANC designs have been shown to work well on attenuating low frequency noise, such as continuous noise like engine noise or low-frequency white noise [1]. There is also research into attenuating other types of noises, such as attenuating impulsive noise [5], [6]. Impulse noises are instantaneous sharp spikes of noise, which the traditional ANC systems may become unstable when encountering these types of noises [7]. There are many types of ANC system designs [1], [4], they can be digital, analogue, or mixed designs; Digital designs involve the use of digital signal processing, analogue designs involve only electronic circuits, and mixed designs combine the use of both digital and analogue designs at the same time. ANC systems can also be feedforward, feedback, or hybrid designs [8]; Feedforward designs take an input signal and generate the output, the filter is adjusted based on the resulting error; Feedback designs uses the generated output and the resulting error to adjust its filter; Hybrid designs make use of both feedforward and feedback designs. Another differentiator for ANC systems is whether it is adaptive or non-adaptive; An adaptive system can adjust its filter, while a non-adaptive uses a fixed filter. Here, the adaptive feedforward design is examined and is used for the implementation of an experimental ANC system. | en_US |
| dcterms.abstract | In this dissertation, a cost-effective multi-input multi-output (MIMO) normalized filtered-x least mean squares (FXNLMS) algorithm, along with a variable step size online secondary path modelling method with an auxiliary noise power scheduling strategy, is implemented on a digital signal processor (DSP), analogue digital converter (ADC), and digital analogue converter (DAC) to create an experimental active noise canceling (ANC) controller. | en_US |
| dcterms.abstract | The ADZS-SC589-EZLITE evaluation board is selected for the implementation. It includes a SC589 DSP, ADAU1979 ADC and ADAU1962A DAC. The implementation of the MIMO FXNLMS with the online secondary path modelling method is presented with general and platform specific considerations discussed. | en_US |
| dcterms.abstract | The proposed experimental ANC controller is compared to the EZ-ANC II, a commercial ANC controller; Comparisons are made with such as comparing the cost and the difference between the used algorithms. | en_US |
| dcterms.abstract | An experiment is conducted to evaluate the performance of both controllers. With the provided equipment, such as microphones and speakers, both controllers form an ANC system which is tested using a duct environment; The attenuation of periodic narrowband sine wave signals is used as a performance metric. | en_US |
| dcterms.abstract | The experimental results show that the proposed experimental ANC controller provide equal or better performance than the EZ-ANC II in attenuating periodic narrowband sine waves propagating in a duct while costing only a fraction of the EZ-ANC II. | en_US |
| dcterms.extent | iii, iv, 57 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2022 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Noise control | en_US |
| dcterms.LCSH | Active noise and vibration control | en_US |
| dcterms.LCSH | Signal processing | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 6518.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.25 MB | Adobe PDF | View/Open |
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