A self-tuning decentralized PI control for multivariable plant

Tuning of controller is one of the most basic functions in control engineering in obtaining optimal control parameters and hence achieving optimal dynamic responses of the system. The work presents the self-tuning PI controller that potential to auto-tune the controller parameters and adapting the changes in controlled process parameter for a MIMO system. The decentralized PI controller with an adaptive interaction algorithm is developed and tested to nonlinear multivariable wastewater treatment plant. It is aims to self-tune the PI control parameters in regulating the substrate and DO concentrations from a steady state operating point. It was observed that the proposed control structure and the tuning algorithm were successfully tracks the desired set-point with considerable effects in noisy environment.