<p>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. © 2018 The Authors. Published by Elsevier B.V.</p>
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S. Anoop and Sharma, K. R., “Model predictive control: Simulation studies for the implementation on vertical take-off and landing lab prototype”, in Procedia Computer Science, 2018, vol. 143, pp. 663-670.