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A Study on PD-like Fuzzy Logic Control Based Active Noise Control for Narrowband Noise Cancellation with Acoustic Feedback and Distance Ratio

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Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 582))

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Abstract

This study considers the significance of geometrical configuration on the point noise cancellation in the three-dimensional linear propagation medium as its background field and proposes a Proportional Derivative—Fuzzy Logic Control (PD-like FLC) scheme for active noise cancellation (ANC). There are two motivations/aims of this study. The first one is to make a comparison between two types of FLC, Mamdani-type and Takagi, Sugeno and Kang (TSK)-type as Mamdani-type is the most common choice for PD-like FLC and TSK-type works better with the nonlinear problem and complex system. The second motivation is to explore the effect of different distance ratios on the degree of cancellation. Matlab/Simulink bench tests are provided. The simulation results reveal that the TSK-type PD-like FLC performs better and the effects of different distance ratios on the degree of cancellation is significant while the optimal configuration is to place both transducers close to the secondary source.

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References

  1. Jeon, H.J., Chang, T.G., Sen. M.K.: Analysis of frequency mismatch in narrowband active noise control. 18(6), 1632–1642 (2010)

    Google Scholar 

  2. Sen, M.K. Morgan, D.R.: Active noise control: a tutorial review. Proc. IEEE. 87(6) (1999)

    Google Scholar 

  3. Leitch, R.R., Tokhi, M.O.: Active noise control systems. IEE Proc. 134(6), 525–545 (1987)

    Google Scholar 

  4. Elliot, S.J., Nelson, P.A.: Active noise control. IEEE Sig. Process. Mag. 10(4), 12–35 (1993)

    Article  Google Scholar 

  5. Sen, M.K., Morgan, D.R.: Active noise control: a tutorial review. Proc. IEEE 87(6), 943–973 (1999)

    Article  Google Scholar 

  6. Sen, M.K. Morgan, D.R.: Review of DSP algorithms for active noise control. In: Proceedings of the 2000. IEEE International Conference on Control Applications. Proceedings of the IEEE. International Conference on Control Applications Anchorage, pp. 25–27. Alaska, USA (2000)

    Google Scholar 

  7. Nithin, V.G., Ganapati, P.: Advances in active noise control: a survey, with emphasis on recent nonlinear techniques. Sig. Process. 93, 363–377 (2013)

    Article  Google Scholar 

  8. Chao, C.T., Teng, C.C.: A PD-like self-tuning fuzzy controller without steady-state error. Fuzzy Sets Syst. 87, 141–153 (1997)

    Article  Google Scholar 

  9. Azzouna, A., Elborji, M., Sakly, A., Faouzi, M., Abdellatif, M.: PD-like fuzzy control of magnetic sustentation system using FPGA technology. In: 16th IEEE Mediterranean Electrotechnical Conference, pp. 1071–1074. Yasmine Hammamet, Tunisia (2012)

    Google Scholar 

  10. Sousa, J.M., Silva, C.A., Sá da Costa, J.M.G.: Fuzzy active noise modeling and control. Int. J. Approximate Reasoning 33(1), 51–70 (2003)

    Article  Google Scholar 

  11. Londhe, P.S., Patre, B.M., Tiwaric, A.P.: Fuzzy-like PD controller for spatial control of advanced heavy water reactor. Nucl. Eng. Des. 274, 77–89 (2014)

    Article  Google Scholar 

  12. Tokhi, M.O.: Geometry-related constraints in the design of active noise control systems. Proc Inst. Mech. Eng. Part I: J. Syst. Control Eng. 213(3), 183–200 (1999)

    Google Scholar 

  13. Vandna, K., Amrit, K.: Comparison of Mamdani-type and Sugenotype FIS for water flow rate control in a rawmill. Int. J. Sci. Eng. Res. 4(6), 2580–2584 (2013)

    Google Scholar 

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Acknowledgements

The first author would like to acknowledge partial finance support from—the Department of Engineering, Design and Mathematics, UWE Bristol.

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Correspondence to Quanmin Zhu .

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Peng, T., Zhu, Q., M. Osman, T., Yao, Y. (2020). A Study on PD-like Fuzzy Logic Control Based Active Noise Control for Narrowband Noise Cancellation with Acoustic Feedback and Distance Ratio. In: Wang, R., Chen, Z., Zhang, W., Zhu, Q. (eds) Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019). Lecture Notes in Electrical Engineering, vol 582. Springer, Singapore. https://doi.org/10.1007/978-981-15-0474-7_9

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