An intelligent robust gain schedule controller design for a nonlinear chemical process

Design of a controller for a chemical process is a challenging problem due to the strong on-line non-linearity and extreme sensitivity to disturbances of the process. Hence, a nonlinear control strategy based on sliding mode, which is a standard approach to tackle the parametric and modeling uncertainties of a nonlinear system, is chosen for tuning the controller a chemical process. But the fuzzy sliding mode controller suffers by it´s own draw backs of chattering and lack of robustness. Fuzzy Gain schedule Control (FGSC) as a robust and intelligent nonlinear control technique is proposed here to control processes with severe nonlinearity and unknown models.