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Title: Analytical method of obtaining inverse model of non-linear process using fuzzy nonlinear internal model control
Authors: Jayaprakash J., Harish Babu T., Senthil Rajan T., Rajeswari R.
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2015
Volume: 10
Issue: 9
Language: English
Keywords: Fuzzy control logicinverse modelFuzzy Nonlinear Internal Model Control (FNIMC)proportional-Integral-Derivative (PID) controller
This novel proposes a modern approach for developing inverse model of a plant which will be based on fuzzy control logic. Purely analytical method was used in developing an inversion strategy of the plant. The proposed Fuzzy Nonlinear Internal Model Control (FNIMC) representation lies in the possibility to determine exactly the model inverse which grandees offset free control performances. The inverse model is conventionally having been performed using proportional-Integral-Derivative (PID) controller. This paper concludes by comparing the conventional method with Fuzzy Nonlinear Internal Model Control (FNIMC).
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