Publication Type:

Conference Paper


Procedia Computer Science, Elsevier B.V., Volume 143, p.663-670 (2018)



Aircraft landing, Constraints, Control applications, Horizon, MATLAB, MATLAB and SIMULINK, Model predictive control, Predictive control systems, Proportional control systems, Proportional integral derivative controllers, Surveillance systems, Takeoff, Two term control systems, Vertical take-off and landings, VTOL, VTOL/STOL aircraft


<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>


cited By 0; Conference of 8th International Conference on Advances in Computing and Communications, ICACC 2018 ; Conference Date: 13 September 2018 Through 15 September 2018; Conference Code:142252

Cite this Research Publication

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.