1 citations · 2 across the 10 of their papers we have counts for
10 papers
Real-Time Retargeting Using Controllability Boundary for Chandrayaan-3 Lunar Landing
Suraj Kumar, Debjyoti Chakrabarti, Aditya Rallapalli +2
This paper presents the real-time retargeting guidance policy developed for the Chandrayaan-3 lunar landing mission. The baseline guidance generates approximate fuel-optimal descen…
Decoupled Thrust-Axis Attitude Control Using Quaternions for Chandrayaan-3 Lunar Landing Mission
Aditya Rallapalli, Suraj Kumar, Rijesh M P +2
Chandrayaan-3 mission achieved a historic milestone with its successful soft landing near the lunar south pole, highlighting the critical role of the navigation, guidance, and cont…
Closed-Loop Control Law for Low Thrust Orbit Transfer with Guaranteed Stability
Suraj Kumar, Aditya Rallapalli, Nivriti Priyadarshini +2
Electric propulsion is used to maximize payload capacity in communication satellites. These orbit raising maneuvers span several months and hundreds of revolutions, making trajecto…
Powered Descent Trajectory Optimization of Chandrayaan-3 using Radau Collocation and Controllable Sets
Suraj Kumar, Aditya Rallapalli, Ashok Kumar Kakula +1
India achieved a significant milestone on August 2023, becoming the fourth country to accomplish a soft landing on the Moon. This paper presents the powered descen…
Analysis of Optimal Thrust to Mass Ratio Requirement for Maximizing Payload Mass of Lunar Landing Mission
Aditya Rallapalli, Suraj Kumar, Rijesh MP +2
Recent successful lunar landing missions have generated significant interest among space agencies in establishing a permanent human settlement on the Moon. Building a lunar base re…
Solving Infinite-Horizon Optimal Control Problems using the Extreme Theory of Functional Connections
Tanay Raghunandan Srinivasa, Suraj Kumar
This paper presents a physics-informed machine learning approach for synthesizing optimal feedback control policy for infinite-horizon optimal control problems by solving the Hamil…
Learning based Modelling of Throttleable Engine Dynamics for Lunar Landing Mission
Suraj Kumar, Aditya Rallapalli, Bharat Kumar GVP
Typical lunar landing missions involve multiple phases of braking to achieve soft-landing. The propulsion system configuration for these missions consists of throttleable engines.…
Descriptive Model-based Learning and Control for Bipedal Locomotion
Suraj Kumar, Andy Ruina
Bipedal balance is challenging due to its multi-phase, hybrid nature and high-dimensional state space. Traditional balance control approaches for bipedal robots rely on low-dimensi…
Enhanced Algorithm for Mobile Robot Path Planning with Non-Holonomic Constraints
Suraj Kumar, Sudheendra R, Aditya R +2
In this paper, a novel method for path planning of mobile robots is proposed, taking into account the non-holonomic turn radius constraints and finite dimensions of the robot. The…
Discrete time model predictive control for humanoid walking with step adjustment
Vishnu Joshi, Suraj Kumar, Nithin V +1
This paper presents a Discrete-Time Model Predictive Controller (MPC) for humanoid walking with online footstep adjustment. The proposed controller utilizes a hierarchical control…