Recent 5 Publications 

2021 IEEE  TGRS 

Regional CubeSat Constellation Design to Monitor Hurricanes

State-of-the-art weather forecasting systems depend on a variety of data collected by airborne, orbiting, and ground sensors. Regional CubeSat constellations have the potential to improve hurricane forecasting by collecting sensor data over data-starved oceanic regions. Even in regions where strong terrestrial sensor networks exist, constellation sensor data can help reduce forecasting model errors. To this end, the paper considers the problem of designing a low-Earth orbit CubeSat constellation that meets given resolution requirements over a region of interest. We propose a novel optimization framework that utilizes the concept of satellite coverage maps to determine the number of satellites and constellation pattern. Numerical simulations are presented for asymmetric constellation design that can provide sensor data over important geographical regions within a specified repeated time-window. 

2021 AAS SFM   

Artificial Neural Network Based Prediction of Solar Array Degradation during Electric Orbit-Raising

This paper presents an artificial neural network based approach for predicting the power loss of all-electric satellites during low-thrust orbit-raising through the Van Allen radiation belts. The developed network can be beneficial in computing thrust availability of the satellite within low-thrust mission design tools that compute the geocentric electric orbit-raising trajectory for the satellite. The neural network is trained on data generated using the AE9/AP9 models for radiation flux calculation and the Space Environment Information System (SPENVIS) for power loss computation. Finally, the application of the network to a sequential low-thrust orbit-raising solver is demonstrated through numerical simulations for orbit-raising starting from a variety of geosynchronous transfer orbits. 

2021 AAS SFM 

Preliminary Mission Design for Proposed NuSol Probe

A solar neutrino detector has never flown in space. NuSol is a proposed mission to fly a solar neutrino detector close to the Sun in order to conduct unique science objectives that cannot be realized by detectors on Earth. The paper presents a preliminary trajectory design for the NuSol mission in order to accomplish the science goals, taking into account specified mission cost constraints, a given launch window, and an overall mission duration. Numerical simulations are presented to compare different mission scenarios and to identify a trajectory design that realizes the science goals of the mission. 

2020 MDPI Aerospace 

Sequential Low-Thrust Orbit-Raising of All-Electric Satellites  

In this paper, we consider a recently developed formulation of the electric orbit-raising problem that utilizes a novel dynamic model and a sequence of optimal control sub-problems to yield fast and robust computations of low-thrust trajectories. This paper proposes two enhancements of the computational framework. First, we use thruster efficiency in order to determine the trajectory segments over which the spacecraft coasts. Second, we propose the use of a neural network to compute the solar array degradation in the Van Allen radiation belts. The neural network is trained on AP-9 data and SPENVIS in order to compute the associated power loss. The proposed methodology is demonstrated by considering transfers from different geosynchronous transfer orbits. Numerical simulations analyzing the effect of thruster efficiency and average power degradation indicate the suitability of starting the maneuver from super-geosynchronous transfer orbits in order to limit fuel expenditure and radiation damage. Furthermore, numerical simulations demonstrate that proposed enhancements are achieved with only marginal increase in computational runtime, thereby still facilitating rapid exploration of all-electric mission scenarios. 

2022 Elsevier  ITS 

Design of deep neural networks for transfer time prediction of spacecraft electric orbit-raising

Recently, there has been a surge in use of electric propulsion to transfer satellites to the geostationary Earth orbit (GEO). Traditionally, the transfer times to reach GEO using all-electric propulsion are obtained by solving challenging trajectory optimization problems that naturally do not lend themselves to incorporation within deep reinforcement learning (DRL) framework to solve trajectory planning problems in near real-time. The operation of DRL, as typically used in trajectory planning, relies on a Q-value. In the electric orbit-raising problem under consideration in this paper, this Q-Value requires computation of transfer time in near real-time to have practical DRL training times. This work proposes to design and evaluate a machine learning (ML) framework, focusing on
deep neural networks (DNNs), to predict the transfer time to assist in Q-value determination instead of solving traditional orbit-raising optimization problems. To this end, we investigate different architectures for DNNs to determine a suitable DNN configuration that can predict the transfer time for each of the mission scenarios with high accuracy. Experimental results indicate that our designed DNNs can predict the transfer time for different scenarios with an accuracy of over 99.97%. To verify the efficacy of our designed DNNs for predicting transfer time that is required for Q-value estimation, we also compare the results from our designed DNNs with the contemporary ML algorithms, such as support vector machines, random forests, and decision trees for regression.
Experimental results indicate that our best-performing DNNs can provide an improvement in the mean error of transfer time prediction by up to 14.05× for non-planar transfers and up to 254× for planar transfers as compared to contemporary ML algorithms. 

List of Journal Publications

[J15] A. Hassaan, P. Chadalavada, A. Munir, A. Dutta, M. Qureshi, "Design of deep neural networks for transfer time prediction of spacecraft
electric orbit-raising," Elsevier Intelligent Systems with Applications, to appear. https://doi.org/10.1016/j.iswa.2022.200092 

[J14] P. Chadalavada, A. Dutta, "Regional CubeSat Constellation Design to Monitor Hurricanes," IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, pp. 1-8, Nov 2021, doi: 10.1109/TGRS.2021.3124473. https://ieeexplore.ieee.org/document/9600833 

[J13] P. Chadalavada, T. Farabi, A. Dutta, "Sequential Low-Thrust Orbit-Raising of All-Electric Satellites," MDPI Aerospace, Special Issue on Electric Propulsion, Vol 7(6), No 74, pp. 1-27. https://doi.org/10.3390/aerospace7060074 

[J12] S. Sreesawet, A. Dutta, “Fast and Robust Computation of Low-Thrust Orbit-Raising Trajectories,” AIAA Journal of Guidance, Control and Dynamics, Vol 41, No 9, pp. 1888-1905. https://doi.org/10.2514/1.G003319 

[J11] Y. Zhao, A. Dutta, P. Tsiotras, M. Costello, ”Optimal Aircraft Trajectories for Wind Energy Extraction,” AIAA Journal of Guidance, Dynamics and Control, Vol. 41, No. 2 (2018), pp. 488-496. https://doi.org/10.2514/1.G003048 

[J10] A. Tummala, A. Dutta, “An Overview of Cube-Satellite Propulsion Technologies and Trends,” MDPI Aerospace,  Micro-Propulsion Systems and Components for Small Spacecraft—Current Trends, Innovations and Challenges, 2017, 4(4), 58, pp. 1–30. https://doi.org/10.3390/aerospace4040058 

[J09] A. Dutta, J. Kasdin, E. Choueiri and P. Francken, "Minimizing Proton Displacement Damage Dose During Electric Orbit-Raising of Satellites," AIAA Journal of Guidance, Control and Dynamics, 39:4, 963-969https://doi.org/10.2514/1.G000503 

[J08] B. Du, Y. Zhao, A. Dutta, J. Yu, X. Chen, “Optimal scheduling of multi-spacecraft refueling based on cooperative maneuver,” Elsevier Advances in Space Research, Vol 55, No 12, pp. 2808–2819. https://doi.org/10.1016/j.asr.2015.02.025 

[J07] P. Libraro, N. J. Kasdin, E. Choueiri, A. Dutta, "Quaternion-Based Coordinates for Non-Singular Modeling of High-Inclination Orbital Transfer," AIAA Journal of Guidance, Control and Dynamics, Vol 37, No 5, pp. 1638-1643. https://doi.org/10.2514/1.G000613 

[J06] S. Coene, F. Spieksma, A. Dutta and P. Tsiotras, "On the Computational Complexity of P2P Refueling Strategies," INFOR: Information Systems and Operations Research, Vol 50, No 2, 2012, pp 88-94. https://doi.org/10.3138/infor.50.2.088 

[J05] A. Dutta, N. Arora, and R. Russell, "Peer-to-Peer Refueling Strategy using Low-Thrust Propulsion," AIAA Journal of Spacecraft and Rockets, Vol 49, No 5, 2012, pp 944-954. https://doi.org/10.2514/1.A32106 

[J04] A. Dutta and P. Tsiotras, "A Network Flow Formulation for Cooperative P2P Refueling Strategies," AIAA Journal of Guidance, Control and Dynamics, 33(5), 2010, pp. 1539- 1549. https://doi.org/10.2514/1.45570 

[J03] A. Dutta and P. Tsiotras, "Hohmann-Hohmann and Hohmann-Phasing Cooperative Rendezvous Maneuvers," AAS Journal of the Astronautical Sciences, 57, 2009, pp. 393—417. https://doi.org/10.1007/BF03321510 

[J02] A. Dutta and P. Tsiotras, "An Egalitarian Peer-to-Peer Satellite Refueling Strategy," AIAA Journal of Spacecraft and Rockets, Vol. 45 (3), 2008, pp. 608-618. https://doi.org/10.2514/1.31299 

[J01] A. Dutta and P. Tsiotras, "Asynchronous Optimal Mixed Peer-to-Peer Satellite Refueling Strategies," AAS Journal of the Astronautical Sciences, Vol. 54 (3-4), Dec 2006, 543-565. https://doi.org/10.1007/BF03256505 

List of Conference Proceedings

[C42] G. Subedi, A. Dutta, “Modified State Observer for Attitude Synchronization of Formation Flying Spacecraft,” AAS/AIAA Space Flight Mechanics Meeting, Virtual, Feb 2021 (AAS 21-371). 

[C41] K. Messick, A. Dutta, H. Meyer, N. Solomey, “Preliminary Mission Design for Proposed NuSol Probe,” AAS/AIAA Space Flight Mechanics Meeting, Virtual, Feb 2021 (AAS 21-377). 

[C40] T. Farabi, A. Dutta, “Artificial Neural Network Based Prediction of Solar Array Degradation during Electric Orbit-Raising,” AAS/AIAA Space Flight Mechanics Meeting, Virtual, Feb 2021 (AAS 21-424). 

[C39] P. Chadalavada, A. Dutta, “Minimizing Ground Track Closure Error of Repeating Ground Track Orbits to Monitor Hurricanes using CubeSats,” AAS/AIAA Astrodynamics Specialist Conference, Virtual, Aug 2021 (AAS 20-691).

[C38] A. Dutta, J. Raquepas, "Stochastic Optimization Framework for Spacecraft Maneuver Detection," AAS/AIAA Space Flight Mechanics Meeting, AIAA Scitech Forum, Orlando FL, Jan 2020. https://doi.org/10.2514/6.2020-0234 

[C37] N. Bascue, A. Dutta, P. Ghosh, "Impact of Launch Injection Errors on Orbit-Raising of All-Electric Satellites," AAS/AIAA Space Flight Mechanics Meeting, AIAA Scitech Forum, Orlando FL, Jan 2020. https://doi.org/10.2514/6.2020-0959 

[C36] L. Arora, A. Dutta, "Reinforcement Learning for Sequential Low-Thrust Orbit Raising Problem," AAS/AIAA Space Flight Mechanics Meeting, AIAA Scitech Forum, Orlando FL, Jan 2020. https://doi.org/10.2514/6.2020-0959 

[C35] A. Dutta, “Selecting Planning Horizon Length for Sequential Low-Thrust Orbit-Raising Optimization Problem,” AAS/AIAA Astrodynamics Specialist Conference, Portland ME, Aug 2019 (AAS 19-878).

[C34] A. Dutta and L. Arora, “Objective Function Weight Selection for Sequential Low-Thrust Orbit-Raising Optimization Problem,” AAS/AIAA Space Flight Mechanics Meeting, Ka’anapali, HI, Jan 2019 (AAS 19-567). 

[C33] A. Dutta and J. Raquepas, “Spacecraft Maneuver Detection using Optimal Control Problem and Relative Equation of Motion,” AAS/AIAA Astrodynamics Specialist Conference, Snowbird UT, Aug 2018 (AAS 18-459). 

[C32] S. Chadalavada and A. Dutta, “Spacecraft Relative Equations of Motion using a New Set of Orbital Elements,” AAS/AIAA Astrodynamics Specialist Conference, Snowbird UT, Aug 2018 (AAS 18-455). 

[C31] S. Sreesawet, A. Dutta, “Receding Horizon Control for Spacecraft with Low-Thrust Propulsion,” American Control Conference, Milwaukee WI, Jun 2018.
https://doi.org/10.23919/ACC.2018.8431788 

[C30] S. Sreesawet, A. Dutta, “”Mission Scenario Analysis for All-Electric Satellites,” AAS/AIAA Space Flight Mechanics Meeting, AIAA SciTech Forum, Kissimmee FL, Jan 2018, pp 2996-3001.  https://doi.org/10.2514/6.2018-0722 

[C29] A. Dutta, “CubeSat Communication Network for Supporting Mars Surface Operations,” International Workshop on Satellite Constellation and Formation Flying, June, 2017.

[C28] S. Sreesawet, A. Dutta, “A Novel Methodology for Fast and Robust Computation of Low-Thrust Orbit-Raising Trajectories,” AAS/AIAA Space Flight Mechanics Meeting, San Antonio TX, Feb 2017 (AAS 17-510).

[C27] P. Karampudi, A. Dutta, “De-Orbit Time Of On-Orbit Debris For Laser-Based Removal Methods,” AAS/AIAA Space Flight Mechanics Meeting, San Antonio TX, Feb 2017 (AAS 17-501).

[C26] A. Dutta, ”Computational Performance of GRASP Algorithms for Spacecraft Multi-Rendezvous Mission Planning,” AIAA/AAS Astrodynamics Specialist Conference, AIAA SPACE Forum, Long Beach CA, 2016 (AIAA 2016-5509). https://doi.org/10.2514/6.2016-5509

[C25] A. Dutta, S. Vijayan, T. Olson, “Deployment of High Power Class All-Electric Satellites in the Geosynchronous Equatorial Orbit,” AIAA/AAS Astrodynamics Specialist Conference, AIAA SPACE Forum, Long Beach CA, 2016. https://doi.org/10.2514/6.2016-5639 

[C24] A. Dutta, “GRASP Algorithm for Multi-Rendezvous Mission Planning for Optimized Trip Times,” AAS Astrodynamics Specialist Conference, Vail CO, Aug 2015.

[C23] S. Sreesawet, V. Pappu, A. Dutta, J. Steck, “Neural Networks Based Adaptive Controller for Attitude Control of All-Electric Satellites,” AAS Astrodynamics Specialist Conference, Vail CO, Aug 2015.

[C22] S. Sreesawet, A. Dutta, “Low-Thrust Orbit-Raising Trajectories using Eclipse Constraints,” AAS Space Flight Mechanics Meeting, Williamsburg VA, 2015.

[C21] S. Vijayan, A. Dutta, “Low-Thrust Orbit-Raising using Non-Singular Orbital Elements and Proximity Quotient Approach,” AAS Space Flight Mechanics Meeting, Williamsburg VA, 2015.

[C20] A. Foster, A. Dutta, “Analytical Model of Van Allen Proton Radiation Flux for Low-Thrust Trajectory Optimization Solvers,” AAS Space Flight Mechanics Meeting, Williamsburg VA, 2015.

[C19] A. Dutta, “A Greedy Random Adaptive Search Procedure for Multi-Rendezvous Mission Planning,” AAS Space Flight Mechanics Meeting, Williamsburg VA, 2015.

[C18] A. Dutta, “Optimal Low-Thrust Orbital Transfers for Rendezvous Between Active Spacecraft with Return Position Constraints,” AIAA Guidance Navigation and Control Conference, Kissimmee FL,
2015.

[C17] A. Dutta, S. Sreesawet, S. Vijayan, A. Foster, ”On the Design of the Power and Propulsion Subsystem of All-Electric Telecommunication Satellites,” International Communication Satellite Systems Conference, San Diego CA, 2014.

[C16] P. Libraro, J. Kasdin, A. Dutta, E. Choueiri, “Application of a Quaternion-Based Formulation to the Electric Orbit-Raising of GEO Satellites from High-Inclination Injection Orbits,” AAS/AIAA Astrodynamics Specialist Conference, San Diego CA, Aug 2014.

[C15] A. Dutta, P. Libraro, J. Kasdin, E. Choueiri, P. Fracken, “Minimum-Fuel Electric OrbitRaising of Telecommunication Satellites Subject to Time and Radiation Damage Constraints,” American Control Conference, Portland OR, 2014.  https://doi.org/10.1109/ACC.2014.6859179   

[C14] A. Dutta, P. Libraro, J. Kasdin, E. Choueiri, P. Fracken, “Design of the Next-Generation All-Electric Telecommunication Satellites,” AIAA International Communications Satellite Systems Conference, Florence, Italy, 2013. https://doi.org/10.2514/6.2013-5625 

[C13] A. Dutta, “Low-Thrust Egalitarian Peer-to-Peer Maneuvers for Servicing Satellites in Circular Constellations,” AAS Spaceflight Mechanics Meeting, Kauai, HI, 2013.

[C12] A. Dutta, P. Libraro, J. Kasdin, E. Choueiri, “Satellite Power Subsystem Requirements for Time-Constrained Electric Orbit-Raising with Minimal Radiation Impact,” AAS Spaceflight Mechanics Meeting, Kauai, HI, 2013.

[C11] A. Dutta, P. Libraro, J. Kasdin, E. Choueiri, “Minimizing Radiation Fluence during Time Constrained Electric Orbit-Raising,” International Symposium of Space Flight Dynamics, Pasadena, CA, 2012. https://issfd.org/ISSFD_2012/ISSFD23_ODY_4.pdf 

[C10] A. Dutta, P. Libraro, J. Kasdin, E. Choueiri, “A Direct Optimization Based Tool to Determine Orbit-Raising Trajectories to GEO for All-Electric Telecommunication Satellites,” AIAA/AAS Astrodynam-
ics Specialist Conference, Minneapolis, MN, 2012. https://doi.org/10.2514/6.2012-4589 

[C09] A. Dutta, “On-Orbit Servicing of Satellites in Circular Constellations using a Single Service Vehicle,” AAS Space Flight Mechanics Meeting, New Orleans, LO, 2011.

[C08] A. Dutta, “Peer-to-Peer Servicing of Satellites in Circular Constellations,” AAS Space Flight Mechanics Meeting, New Orleans, LO, 2011.

[C07] A. Dutta, N. Arora, and R. Russell, “A Peer-to-Peer Refueling Strategy using Low-Thrust Propulsion,” AAS Astrodynamics Specialist Conference, Pittsburg, PA, 2009.

[C06] A. Dutta and P. Tsiotras, “A Cooperative Egalitarian P2P Strategy for Refueling Satellites in Circular Constellations,” AAS Space Flight Mechanics Meeting, Savannah, GA, 2009. 

[C05] A. Dutta and P. Tsiotras, “A Cooperative Peer-to-Peer Strategy for Refueling Satellites in Circular Constellations,” AIAA Space Conference, San Diego, CA, 2008. https://doi.org/10.2514/6.2008-7643 

[C04] A. Dutta and P. Tsiotras, “Hohmann-Hohmann and Hohmann-Phasing Cooperative Rendezvous Maneuvers,” L. Markley Astronautics Symposium, Chesapeake Bay, MD, 2008.

[C03] A. Dutta and P. Tsiotras, “A Network Flow Formulation for an Egalitarian Peer-to-Peer Refueling Strategy,” AAS Space Flight Mechanics Meeting, Sedona, AZ, 2007.

[C02] A. Dutta and P. Tsiotras, “A Greedy Random Adaptive Search Procedure for Optimal Scheduling of P2P Refueling,” AAS Space Flight Mechanics Meeting, Sedona, AZ, 2007.

[C01] A. Dutta and P. Tsiotras, “Asynchronous Optimal Mixed Peer-to-Peer Satellite Refueling Strategies,” Malcom D. Shuster Astronautics Symposium, Buffalo, NY, 2005.