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.
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).
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.
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