RCS Thruster
Research on Reaction Control System (RCS) thrusters focuses on developing efficient and robust control strategies for spacecraft and robotic systems, addressing challenges like thruster on/off constraints and fault tolerance. Current efforts utilize model predictive control (MPC) with various constraint handling methods (e.g., mixed-integer programming, linear complementarity constraints) and optimization algorithms (e.g., covariance matrix adaptation evolutionary strategy) to achieve precise maneuvering and autonomous operation. These advancements are crucial for applications such as spacecraft rendezvous, debris removal, and the development of agile, self-repairing robotic platforms, improving safety and efficiency in space and terrestrial environments.
Papers
Enhanced Capture Point Control Using Thruster Dynamics and QP-Based Optimization for Harpy
Shreyansh Pitroda, Eric Sihite, Taoran Liu, Kaushik Venkatesh Krishnamurthy, Chenghao Wang, Adarsh Salagame, Reza Nemovi, Alireza Ramezani, Morteza Gharib
Conjugate momentum based thruster force estimate in dynamic multimodal robot
Shreyansh Pitroda, Eric Sihite, Taoran Liu, Kaushik Venkatesh Krishnamurthy, Chenghao Wang, Adarsh Salagame, Reza Nemovi, Alireza Ramezani, Morteza Gharib
Enabling steep slope walking on Husky using reduced order modeling and quadratic programming
Kaushik Venkatesh Krishnamurthy, Eric Sihite, Chenghao Wang, Shreyansh Pitroda, Adarsh Salagame, Alireza Ramezani, Morteza Gharib
Optimization free control and ground force estimation with momentum observer for a multimodal legged aerial robot
Kaushik Venkatesh Krishnamurthy, Chenghao Wang, Shreyansh Pitroda, Eric Sihite, Alireza Ramezani, Morteza Gharib