Optimization based internal model control design

Abstract

Control of nonlinear and/or constrained processes is a challenging and important task, especially chemical processes that need special attention to maximize the product thereby the profit. In this work, an optimization-based internal model control design is presented for both linear and nonlinear systems. For controlling nonlinear systems, the process dynamics are linearized around the operating point. The use of an optimizer as an internal model controller will enable the control engineer to deal with the constraints posed by the various process parameters and the effect of various process parameter variations in the closed-loop response is reported. Simulation case studies are presented viz., a first-order LTI system, and Continuous Stirred Tank Reactor(CSTR) to prove the efficacy of the optimization based internal model controller in controlling linear and nonlinear constrained processes.