title: Fuzzy control of multivariable process by modified error decoupling
abstract: In this paper, a control concept for the squared (equal number of inputs and outputs) multivariable process systems is given. The proposed control system consists of two parts, single loop fuzzy controllers in each loop and a centralized decoupling unit. The fuzzy control system uses feedback control to minimize the error in the loop and the decoupler uses an adaptive technique to mitigate loop interactions. The decoupler predicts the interacting loop changes and modifies the input (error) of the loop controller. The controller was tested on the simulation model of "single component vaporizer" process
keyphrases: multivariable process modified error decoupling centralized decoupling unit feedback control squared multivariable process systems square multivariable process systems single-loop fuzzy controllers error minimization loop interaction mitigation single component vaporizer process set point changes load changes