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Analytical method of obtaining inverse model of non-linear process using fuzzy nonlinear internal model control


Article Information

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

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

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

Categories

Abstract

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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