Model Predictive Control: Simulation Studies for the Implementation on Vertical Take-Off and Landing Lab Prototype.

Abstract Model Predictive Control (MPC) is one of the advanced control techniques. The ability to act prior to the setpoint change by predicting the future control actions makes MPC a better choice for control applications with predefined setpoint trajectory. This paper is a preliminary work done for the development of control system for an autonomous air-borne surveillance system. A brief comparison among the constrained, unconstrained MPCs and Proportional-Integral-Derivative (PID) controller is presented. Simulation study of the implementation of MPC on the QNET Vertical Take-Off and Landing (VTOL) prototype is investigated in this paper. The software platforms used in this study include MATLAB and Simulink. [ABSTRACT FROM AUTHOR]