Comparative Study of Intelligent Techniques of Controller Design for Nonlinearities in Continuous Stirred Tank Reactor

In natural trend towards system nonlinearity modeling, controller design is becoming a strategic necessity as a result of increasing economic, environmental demands associated with an increasing demand for high performance as well as for more safety and reliability of dynamic systems. Continuous Stirred Tank Reactor (CSTR) is one of the common reactors in chemical plant and also it is complex nonlinear system. Due to its strong nonlinear behavior, the problem of identification and control of CSTR is always a challenging task for control systems engineer. This paper focuses the modeling and the comparison study of various intelligent techniques for dynamic controller design of CSTR. As a case study, all the proposed approaches are potentially interesting in the case of the processes with strong nonlinear dynamics.