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The IUP Journal of Chemical Engineering
Generic Model Controller with Adaptive State Estimation for Nonlinear Cstr
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A hybrid control scheme consisting of a generic model control (GMC) and a nonlinear adaptive state estimator (ASE) is designed. The ASE estimates the partially known parameters in the presence of process/predictor mismatch, whereas GMC takes care of the nonlinearities and interactions in the nonlinear industrial processes. The developed GMC-ASE controller is implemented in a jacketed continuous stirred-tank reactor (CSTR). The performance of the developed controller is compared with a conventional proportional-integral (PI) controller. It is observed that a GMC-ASE controller shows relatively better performance than the PI controller due to the exponential error convergence capability of the ASE estimator and high quality performance of the GMC controller.

 
 

Nonlinear controllers such as globally linearizing controller (GLC) (Isidori, 1989; and Jana et al., 2005a), generic model controller (GMC) (Lee and Sullivan, 1988; and Signal and Lee, 1992) and internal model controller (IMC) are a class of advanced controllers which were developed in the late 1980s to get a better performance than the conventional proportional-integral (PI) or proportional-integral-derivative (PID) controllers. These control schemes require the feedback of state variables to implement the efficient control laws. Although open-loop observer, i.e., direct integration of the process model, is employed to estimate the required state feedback, which performs satisfactorily for several applications, a closed-loop observer with feedback correction is still desirable, when the system consists of modelling error(s) or pure integrator(s).

In the present study GMC scheme is chosen as it is extensively used to control the nonlinearities and interactions in the nonlinear industrial processes. As the performance of the GMC scheme also depends on the accurate feedback of the state information to the controller, the combination of GMC law and an efficient state estimator is required to improve the closed-loop performance.

 
 

Chemical Engineering Journal, Adaptive State Estimator, ASE, Nonlinear Control, Generic Model Controller GMC, Continuous Stirred-Tank Reactor, CSTR, Proportional-Integral, PI, Proportional-Integral-Derivative, PID, Estimated Outputs, EO, Exponential Convergence.