Supervisory control based on closed-loop adaptive control approach of nonlinear continuous stirred tank reactor process (NCSTRP)

In the last few years there was a great deal of interest in the application of adaptive and supervisory control of linear systems using multi-models and multi-estimators based on switching and tuning. The aim of this paper is to apply this methodology to highly nonlinear continuous stirred tank reactor process (NCSTRP), which is very useful in chemical and biochemical engineering industries, and in the other hand to tackle some drawbacks of closed-loop adaptive control. Closed-loop adaptive control algorithm has been used as a technique for identification of models set and in the same time to calculate the corresponding set of RST controllers. The simulation results with different scenarios show the effectiveness of this switching control approach in terms of stability and performance.