Analytical Adjustment of Predictive Stabilizer Parameters in Interconnected Industrial Systems: Three Reservoir System
Subject Areas : journal of Artificial Intelligence in Electrical Engineering
Saeed Nikbakht
1
(
2Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran
)
Saeed Barghandan
2
(
Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran
)
Keywords: Model predictive control, White noise, advanced process control, Three Reservoir System,
Abstract :
Regarding the daily increasing development of process and chemical industries and the requirement to improve energy consumption and increasing the output, advanced process control strategies are utilized effectively. Model predictive control as a successful developed process control has been proposed to deal with problems having constraints and multivariable systems. The successful administration of this strategy requires proper adjustment of its’ parameters. In this research, three reservoir system has been modeled as a laboratory plant and predictive control algorithm for first order system with delay has been designed in the form of an unlimited case. The delayed first order model has been achieved though the implementation of a white noise signal into the plant to recognize the system. Then parameters were adjusted using an analytic method. Results of simulations showed that model predictive control has represented an optimal performance through proper adjustment of the parameters.