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Model predictive control: Simulation studies for the implementation on vertical take-off and landing lab prototype

Publication Type : Journal Article

Publisher : Elsevier

Source : Procedia Computer Science

Url : https://doi.org/10.1016/j.procs.2018.10.450

Campus : Amritapuri

School : School of Engineering

Department : Electrical and Electronics

Year : 2018

Abstract : pModel 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

Cite this Research Publication : Anoop S, K Rahul Sharma, Model Predictive Control: Simulation Studies for the Implementation on Vertical Take-Off and Landing Lab Prototype, Procedia Computer Science.

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