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

CAI Zhikuang; SHAN Weiwei; LI Jie

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Article Navigation > 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,” Chinese Journal of Electronics, vol. 22, no. 1, pp. 67-70, 2013,

Citation:

CAI Zhikuang, SHAN Weiwei, LI Jie, “A Novel Hybrid Fuzzification for Fuzzy Logic Controller and Its Circuit Implementation,” Chinese Journal of Electronics, vol. 22, no. 1, pp. 67-70, 2013,

CAI Zhikuang, SHAN Weiwei, LI Jie, “A Novel Hybrid Fuzzification for Fuzzy Logic Controller and Its Circuit Implementation,” Chinese Journal of Electronics, vol. 22, no. 1, pp. 67-70, 2013,

Citation:

CAI Zhikuang, SHAN Weiwei, LI Jie, “A Novel Hybrid Fuzzification for Fuzzy Logic Controller and Its Circuit Implementation,” Chinese Journal of Electronics, vol. 22, no. 1, pp. 67-70, 2013,

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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

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