期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：5
页码：1413-1422
出版社：Journal of Theoretical and Applied
摘要：The performance of the predictive control scheme is related to the efficiency and cost of systems to be manipulated. However, it is intricate to express the dynamic nature of real process which is characterized by strong constraints and nonlinear terms. In this context, the present paper presents a constrained predictive control of nonlinear MIMO system. The proposed method combines the philosophies of T�S fuzzy modelling approach and a modified Dynamic Neighborhood PSO algorithm. The intelligent algorithms Particle Swam Optimization is applied to provide the control actions by solving constrained multi-objective optimization problems. At the modelling stage, T-S Fuzzy modelling technique is employed to predict the state evolutions of nonlinear process. Multivariable multi-objective predictive control of Quadruple-Tank Process based on the proposed strategy is carried out. The acquired results confirm the merit of the proposed method to deal with the control problems of nonlinear MIMO system. Furthermore, simulation tests are conducted to compare the performance of the proposed method and the multivariable predictive control with a single objective. The simulation results indicate that a multi-objective predictive strategy yields a better performance than a single objective.
