Model predictive control (MPC) design and implementation using algorithm-3 on board SPARTAN 6 FPGA SP605 evaluation kit

Abstract

Model Predictive Control (MPC) is based on the idea to produce control input as a solution to real-time optimization problem. The advantage of MPC is that MPC can works effectively within constraints of the real actuator which are relatively narrow. The disadvantage of MPC lies on its complex algorithm that needs longer time than the other controller. This paper discuss the MPC application for TITO (Two Input Two Output) system and its implementation on board SPARTAN 6 FPGA SP605 Evaluation Kit with Microblaze MCS. The implemented MPC algorithm 3 on board SPARTAN 6 FPGA SP605 Evaluation Kit with Microblaze MCS can be used by different plant with fast responses, with minimal plant's time constant is 3.9 seconds.