Design and Implementation of Controllers for MIMO Process

Most of the large and complex industrial processes are naturally Multi Input Multi Output systems. Compared with single-input single-output (SISO) counterparts, MIMO systems are more complex to control due to inherent nonlinearity and due to the existence of interactions among input and output variables. Control of nonlinear MIMO process is a challenging task because nonlinear processes do not share many properties. This paper presents a real-time implementation of conventional controller and multi model controller for a laboratory scale non linear MIMO process. Experimental results shows that control strategy based on the multi-linear models can effectively handle control problems in complex nonlinear plants.