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Issue title: The 6th International Multi-Conference on Engineering and Technology Innovation 2017 (IMETI2017)
Guest editors: Wen-Hsiang Hsieh
Article type: Research Article
Authors: Shieh, Cheng-Shion; *
Affiliations: Department of Electrical Engineering, Far-East University, Hsin-Shih Tainan, Taiwan, R.O.C
Correspondence: [*] Corresponding author. Cheng-Shion Shieh, Department of Electrical Engineering, Far-East University 49 Chung Hua Road, Hsin-Shih Tainan, 744 Taiwan, R.O.C. E-mail: csshieh@mail.feu.edu.tw.
Abstract: This study proposes the digital fuzzy control based on Adaptive-Network-based Fuzzy Inference System (ANFIS) to overcome the tracking problem of a DC-AC and DC-DC boost converter and to implement on a digital computer. The proposed method eliminates the trial and error commonly associated with fuzzy systems. In the proposed design scheme, we take the existing continuous controller as training data of the ANFIS such that the proposed digital fuzzy control can replace original continuous one and can keep the original system performance. It is a sense of digital redesign that this paper proposes a new digital control such that the state trajectories of the sampled-data closed loop systems close to the continuous-time one. An existing boost converter circuit has demonstrated the feasibility of the proposed methodology.
Keywords: Digital fuzzy control, DC-DC regulator converter, DC-AC tracking converter, adaptive-network-based fuzzy inference system (ANFIS), digital redesign
DOI: 10.3233/JIFS-169863
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 851-860, 2019
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