Research to Design Predictive Controller for Nonlinear Object based on Fuzzy Model

International Journal of Electrical and Electronics Engineering

© 2021 by SSRG - IJEEE Journal

Volume 8 Issue 1

Year of Publication : 2021

Authors : To Van Binh

10.14445/23488379/IJEEE-V8I1P105

How to Cite?

To Van Binh, "Research to Design Predictive Controller for Nonlinear Object based on Fuzzy Model," SSRG International Journal of Electrical and Electronics Engineering, vol. 8,  no. 1, pp. 27-31, 2021. Crossref, https://doi.org/10.14445/23488379/IJEEE-V8I1P105

Abstract:

Model predictive control (MPC) is a control method that is used quite commonly in industrial processes. However, most predictive controllers are designed based on the linear model of the System, so the quality of control is limited when the System operates on a large area. In the predictive control system, building the object model has decisive significance to the quality of the control system. The paper proposes a method to build nonlinear object modeling using Takagi-Sugeno fuzzy model. The research applied on subjects is a double-linked tank system. The simulation results show the accuracy and feasibility of the model.

Keywords:

Model predictive control, Takagi-Sugeno fuzzy model, Coupled-tanks systems.

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