MODEL PREDICTIVE CONTROL USING STATE SPACE MODEL

Abstract

In this report, basic idea of MPCis introduced. The first step in MPC design is modelling of system. In this work discrete state space model of the system is used and an integrator is added to the system to reduce steady state error. The method of predicting the future output and the optimization method used are explained. MPC design on a single input single output system is done and receding horizon control is implemented. The report also explains dynamics matrix control (DMC).