Innovations in generalized predictive control using TSK fuzzy-based approach
ABSTRACT The main idea of the paper presented here is to reorganize the linear model based generalized predictive control (LGPC) approach in dealing with a severe nonlinear system. The proposed control strategy is investigated using a TSK fuzzy-based LGPC approach as well as a TSK fuzzy-based model approach. The TSK fuzzy-based model approach is accurately identified as the best representation of the nonlinear system, at each instant of time. And subsequently the TSK fuzzy-based LGPC approach is realized in line with the system modeling outcomes. In order to present the validity of the proposed control strategy, the simulations are carried out in deriving an industrial tubular heat exchanger system as a highly nonlinear system. As is obvious from its acquired results, the proposed control strategy is appropriate in comparison with the traditional LGPC approach.
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ABSTRACT: This paper describes an application of intelligence-based predictive scheme to load-frequency control (LFC) in a two-area interconnected power system. In this investigation, at first, a dynamic model of the present system has to be considered and subsequently an efficient control scheme which is organized based on Takagi-Sugeno-Kang (TSK) fuzzy-based scheme and linear generalized predictive control (LGPC) scheme needs to be developed. In the control scheme proposed, frequency deviation versus load electrical power variation could efficiently be dealt with, at each instant of time. In conclusion, in order to validate the effectiveness of the proposed control scheme, the whole of outcomes are simulated and compared with those obtained using a nonlinear GPC (NLGPC), as a benchmark approach, which is implemented based on the Wiener model of this power system. The validity of the proposed control scheme is tangibly verified in comparison with the previous one. KeywordsLoad-frequency control–Intelligence-based predictive scheme–Linear generalized predictive control scheme–Two-area interconnected power system–Nonlinear generalized predictive control schemeApplied Intelligence 01/2011; 35(3):457-468. · 1.85 Impact Factor