Optimization of a Quadruple FireFighting Reservoir System Using Model Predictive Control Techniques

Abstract

This work does an extensive exhibition investigation of Model Prescient Regulator (MPC) for a changed variant of benchmark of a Quadruple Firefighting Reservoir System which is a Multi-Input Multi-Output (MIMO), exceptionally nonlinear coupled framework. The goal is to control the foam concentrate level of Quadruple Reservoir Framework with the Optimization of objective cost function of system error while satisfying input amplitude constraints. Simulation have been carried out with MATLAB R2018A and results are reasonably contrasted with PI and LQR regulators. Results broadcast that the unified MPC with an adequately huge expectation skyline and prediction horizon is better choice when compared with decentralized PI and incorporated LQR regulator as it measures the deficiency of execution and loss of performance due to the linear nature of the prediction model. The Nonlinear model of the Quadruple Reservoir System is linearized and a check for controllability and observability is carried out for both operating conditions I.e. Minimum and Non-minimum phase systems using MATLAB.