Faculty Publications
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Publications by NITK Faculty
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Item Communication Architecture for Autonomous Aerial Traffic Management(Institute of Electrical and Electronics Engineers Inc., 2022) Paul, S.; Jana, S.; Chopra, O.; Ratnoo, A.; Ghose, D.This paper presents a multi-agent communication paradigm for autonomous aerial traffic management. Multi-drone missions based on the existing ROS-based communication architecture heavily depend on the master node, and communication delay between nodes might not be sufficient for efficient inter-agent collision avoidance. In this paper, we have proposed a hybrid ROS-ROS2 communication architecture for centralised traffic management with the provision of distributed communication for collision avoidance and conflict resolution at intersections. The base station server responsible for traffic management runs on a ROS2 environment, ROS is used for communication with each onboard autopilot, and an intermediate add-on-module interfaces ROS and ROS2 messages. The content of the communication packets between the different nodes is decided based on the design requirements. Overall communication architecture is validated through simulation and hardware experiments. © 2022 IEEE.Item Optimization of Axially Magnetized Stack Structured Permanent Magnet Thrust Bearing Using Three- Dimensional Mathematical Model(American Society of Mechanical Engineers (ASME) infocentral@asme.org, 2017) Bekinal, S.I.; Doddamani, M.; Jana, S.This work deals with optimization of axially magnetized stack structured permanent magnet (PM) thrust bearing using generalized three-dimensional (3D) mathematical model having "n" number of ring pairs. The stack structured PM thrust bearing is optimized for the maximum axial force and stiffness in a given cylindrical volume. MATLAB codes are written to solve the developed equations for optimization of geometrical parameters (axial offset, number of ring pairs, air gap, and inner radius of inner and outer rings). Further, the results of proposed optimization method are validated using finite element analysis (FEA) and further, generalized by establishing the relationship between optimal design variables and air gap pertaining to cylindrical volume constraint of bearing's outer diameter. Effectiveness of the proposed method is demonstrated by optimizing PM thrust bearing in a given cylindrical volume. Mathematical model with optimized geometrical parameters dealt in the present work helps the designer in developing PM thrust bearings effectively and efficiently for variety of applications. © 2017 by ASME.Item Generalized optimization procedure for rotational magnetized direction permanent magnet thrust bearing configuration(SAGE Publications Ltd info@sagepub.co.uk, 2019) Bekinal, S.I.; Doddamani, M.; Vanarotti, M.; Jana, S.Optimization of rotational magnetized direction permanent magnet thrust bearing configuration is carried out using generalized three-dimensional mathematical model. The bearing features namely axial force and stiffness are maximized using in-house developed mathematical expressions solved using MATLAB. The design variables selected for the optimization are axial offset, number of ring pairs, air gap and inner radius of inner and outer rings. The maximized axial force values of the optimized configuration are validated with the finite element analysis results. To overcome the high computational cost associated with three-dimensional equations, generalized method of optimization is sucessfully demonstrated using plots representing variation of optimal design variables as a function of air gap with respect to bearing’s outer diameter. Simple and useful method of using the generalized plots for the process of optimization is presented by dimension optimization of representative bearing configuration with a particular aspect ratio. The proposed optimization using mathematical model and generalized approach assists designer in selecting optimized geometrical parameters of rotational magnetized direction thrust bearing configurations easily for variety of high-speed applications. © IMechE 2018.
