Three Tank System Control Using Neuro - Fuzzy Model Predictive Control
نویسنده
چکیده
Three-tank (3T) system is the most representative didactical equipment used as a bench mark system for system modeling, identification and control. A real target representing 3T system has been used for generating data that is used for developing a linear model based on autoregressive exogenous (ARX) method, and neuro-fuzzy (NF) network technique. The developed models have been used as an internal model of the model predictive control (MPC). Control actions of the NFMPC algorithm has been determined using nonlinear programming methods based on sequential quadratic programming (SQP) technique. The developed NFMPC algorithm has shown good performance and set point tracking over the linear MPC algorithm based on ARX model for controlling the 3T system.
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