International Journal of Engineering and Technology

Multivariable systems exhibit complex dynamics because of the interactions between input variables and output variables. This paper presents an approach to design auto tuned decentralized PI controller using ideal decoupler and adaptive techniques for controlling a class of multivariable process with a transmission zero. Using the decoupler, the MIMO system is transformed into two SISO systems. The controller parameters are adjusted using the Model Reference Adaptive reference Control (MRAC). A benchmark quadruple tank system (QTS) is considered to illustrate the benefits of the design paradigm. The performance of this set up was studied for reference tracking and disturbance rejection cases. Simulation results confirm the effectiveness of the proposed system.