Fuzzy dynamic modelling and predictive control of a coagulation chemical dosing unit for water treatment plants

In this paper, a fuzzy model predictive control (FMPC) strategy is proposed to regulate the output variables of a coagulation hemical dosing unit. A multiple-input, multiple-output (MIMO) process model in form of a linearised Takagi–Sugeno (T–S) fuzzy odel is derived. The process model is obtained through subtractive clustering from the plant’s data set. The MIMO model is escribed by a set of coupled multiple-input, single-output models (MISO). In the controller design, the T–S fuzzy model is applied n combination with the nonlinear model predictive control (MPC) algorithm. The results show that the proposed controller has good et-point tracking when compared with nonlinear MPC and adequate disturbance rejection ability required for efficient coagulation ontrol and process optimisation in water treatment operations. 2014 Production and hosting by Elsevier B.V. on behalf of Electronics Research Institute (ERI).