A Novel Hybrid Fuzzification for Fuzzy Logic Controller and Its Circuit Implementation

CAI Zhikuang; SHAN Weiwei; LI Jie

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CAI Zhikuang, SHAN Weiwei, LI Jie. A Novel Hybrid Fuzzification for Fuzzy Logic Controller and Its Circuit Implementation[J]. Chinese Journal of Electronics, 2013, 22(1): 67-70.

Citation:

CAI Zhikuang, SHAN Weiwei, LI Jie. A Novel Hybrid Fuzzification for Fuzzy Logic Controller and Its Circuit Implementation[J]. Chinese Journal of Electronics, 2013, 22(1): 67-70.

CAI Zhikuang, SHAN Weiwei, LI Jie. A Novel Hybrid Fuzzification for Fuzzy Logic Controller and Its Circuit Implementation[J]. Chinese Journal of Electronics, 2013, 22(1): 67-70.

Citation:

CAI Zhikuang, SHAN Weiwei, LI Jie. A Novel Hybrid Fuzzification for Fuzzy Logic Controller and Its Circuit Implementation[J]. Chinese Journal of Electronics, 2013, 22(1): 67-70.

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A Novel Hybrid Fuzzification for Fuzzy Logic Controller and Its Circuit Implementation

National ASIC System Engineering Research Center, Southeast University, Nanjing 210096, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61006029), the Natural Science Foundation of Jiangsu Province, China (No.BK2010165, No.BK2010167).

Received Date: 2012-02-01
Rev Recd Date: 2012-03-01
Publish Date: 2013-01-05

Abstract

Abstract

In this paper, a novel hybrid fuzzification method combining conventionally used triangle Membership functions (MFs) with two new membership functions - a peaky-triangle MF and a round-triangle MF - is proposed to improve the control effect of trajectory tracking control problems. Then its analog integrated circuit is designed and fabricated using a 0.6μm CMOS technology for hardware implementation. The experimental results show that this circuit provides an accurate output compared to the theoretical one with a fuzzification speed of 6.67MHz, which is fast enough for real-time applications. This special hybrid fuzzification can help improving the performance of fuzzy logic controller without increasing complexity.
- Membership function,
- Hybrid fuzzification,
- Analog circuit,
- Fuzzy logic controller

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References(6)

References

I.S. Han, “Membership function circuit for neural/fuzzy hardwareof analog-mixed operation based on the programmableconductance”, Proc. IEEE International Fuzzy Systems Conference,Sheffield, UK, pp.1-4, 2007.

V.F. Dinavari, A. Khoei, K. Hadidi, M. Soleimani and H. Mojarad,“Design of a current-mode analog CMOS fuzzy logiccontroller”, IEEE EUROCON, Petersburg, USA, pp.211-217,2009.

Riza C. Berkan, Sheldon L. Trbatch, Fuzzy Systems DesignPrinciples: Building Fuzzy IF-THEN Rules Bases, IEEE Press,London, UK, pp.290-320, 1990.

X.Y. Du, N.Y. Zhang, N. Yu, “Structure analysis and functionevaluation of a kind of fuzzy PID controllers”, Chinese Journalof Electronics, Vol.13, No.4, pp.654-659, 2004.

H.X. Li, Z.H.Miao and E.S. Lee, “Variable universe stable adaptivefuzzy control of a nonlinear system”, Computers and Mathematicswith Applications, Vol.44, No.5-6, pp.799-815, 2002.

N.A. Rahim, HW. Ping and J. Jamaludin, “A novel self-tuningscheme for fuzzy logic elevator group controller”, IEICE ElectronicsExpress, Vol.7, No.13, pp.892-898, 2010.

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