Faculty Publications
Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736
Publications by NITK Faculty
Browse
4 results
Search Results
Item Optimal Quadcopter Placement using Brute Force method for Efficient 5G Communication(Institute of Electrical and Electronics Engineers Inc., 2022) Kanapuram, K.; Priyanka, B.; Manohar, S.; Manjappa, M.Quadcopters are finding its application in many areas nowadays. Fifth Generation (5G) mobile communication is one area where quadcopters can be made used to assist in providing mobile communication. Quadcopters can be deployed to provide 5G mobile network communication in areas where the network is down due to natural calamities. And there are situations where the network coverage has to be extended temporarily to provide temporary service on demand, for example, when there is an outdoor gathering at a place where mobile network coverage is unavailable. The quadcopters can also be used to assist terrestrial base stations, also called eNodeB, when it is down or overloaded with many users. In all the above cases the quadcopter can be made use of by making it to hover in the dedicated geographical area to provide 5G network service. The ideal height and exact location at which the quadcopter should hover is dependent on the number of users and how they are scattered in the area under consideration. This article focuses on ideal quadcopter placement by finding all the axes in 3 dimension for the quadcopter to hover so that the network coverage and Quality of Service (QoS) to all users is optimal. © 2022 IEEE.Item Reliability Analysis of Petri Nets For Unmanned Aerial Vehicles(Institute of Electrical and Electronics Engineers Inc., 2024) Kumari, L.; Nandini, A.C.; Bhavitha, N.; Naik, S.M.; Das, M.; Mohan, B.R.In this project, we theoretically analyse the reliability of an Unmanned Aerial Vehicle system. We do this using Risk Assessment and Mitigation Analysis(RAMA) and Stochastic Petri Net(SPN) analysis. The RAMA describes the various ways in which a system can fail and the factors which cause them along with any possible actions that can correct them. It helps in identifying the critical factors that affect the flight of the vehicle. The Petri Net model is built by identifying four major components crucial for the successful flight of the vehicle. It helps us to identify the flow of events that lead to a particular final state. We also do the reachability analysis of the Petri Net model and analyse its liveness theoretically. This study is aimed to help identify the various fault points in UAVs which in turn can help in future improvements. © 2024 IEEE.Item A Comparative Analysis between Sliding Mode Control and Super Twisting Sliding Mode Control Applied on a Quadcopter(Institute of Electrical and Electronics Engineers Inc., 2024) Vijapur, S.; Jungade, O.A.; Thomas, M.J.The use of quadcopters has grown exponentially in countless fields. With the ever-growing demand for automation in today's world, algorithms for the autonomous control of drones have become a major area of research. In this paper, we implement two control strategies, namely Sliding Mode Control (SMC) and Super Twisting Sliding Mode Control (STSMC), on a 6 Degree of Freedom quadcopter model and compare their performance. Using Fast Fourier Transforms, the two controllers are analysed to enable an effective comparison of the chattering in the control input by defining a suitable index. With this index, we observe a decrease of two orders of magnitude in the chattering present in the input given by the STSMC controller. © 2024 IEEE.Item Hovering control of a quadcopter using linear and nonlinear techniques(Inderscience Publishers, 2018) Suresh, H.; Sulficar, A.; Desai, V.This paper presents a comparative study on linear and nonlinear control techniques for the near-hover attitude stabilisation of a quadcopter. A dynamic model of the quadcopter is developed using Newton-Euler equations, which is inherently nonlinear. Firstly, the classical PID controller is implemented directly on the nonlinear system by decoupling the attitude dynamics and using separate controllers for each attitude variable. Linear controllers can also be implemented on this system by linearising it about an operating point, which is shown for the linear quadratic regulator (LQR). Such a linear approximation may not always retain the actual system dynamics and are not very efficient in the real world scenario. Model based nonlinear controllers prove to be superior in such instances, and one such popular technique - Feedback Linearisation using dynamic inversion is discussed in this paper. The proposed control algorithms are tested on the quadcopter model using numerical simulations in MATLAB/Simulink and analysed in terms of fall time, percentage undershoot and computation time. © © 2018 Inderscience Enterprises Ltd.