AE3820 Advanced Mechanics and Orbital Robotics

This course is an intermediate level analysis of the dynamics of space systems, including: ascent and descent of rockets, tethers, yo-yo despin, spinning hubs with flexible appendages, single stage to orbit, and various problems in spacecraft attitude dynamics such as nutation dampers. The analysis will include developing the equation of motion, equilibrium and stability analysis, solutions of nonlinear systems using perturbation methods and numerical techniques. Computational and symbolic manipulator packages will be used extensively.

Prerequisite

MA2121

Lecture Hours

3

Lab Hours

2

Course Learning Outcomes

  • Advanced Mechanics Principles: Demonstrate a comprehensive understanding of advanced mechanics principles, including classical mechanics, orbital mechanics, and dynamics relevant to space systems and robotics.
  • Orbital Dynamics Mastery: Gain proficiency in orbital mechanics, including Keplerian motion, perturbation theory, orbital transfers, and orbital rendezvous and docking techniques used in space missions.
  • Robotic Systems Analysis: Analyze robotic systems used in orbital environments, including manipulator arms, end effectors, and robotic platforms, considering factors such as kinematics, dynamics, and control.
  • Trajectory Planning and Control: Develop skills in trajectory planning and control for robotic spacecraft, including path optimization, trajectory generation, and guidance algorithms for orbital maneuvers and rendezvous operations.
  • Spacecraft Dynamics: Understand the dynamics of spacecraft motion, including attitude dynamics, spacecraft stabilization, and control techniques for maintaining desired orientations and trajectories.
  • Sensor and Actuator Integration: Integrate sensors and actuators into robotic systems for navigation, perception, and manipulation tasks in orbital environments, considering challenges such as sensor noise, calibration, and redundancy.
  • Collision Avoidance and Safety: Implement collision avoidance strategies and safety protocols for orbital robotics systems to prevent collisions with other spacecraft, debris, or obstacles in space.
  • Autonomy and AI: Explore autonomy and artificial intelligence (AI) techniques for robotic systems operating in space, including autonomy in decision-making, planning, and task execution for autonomous space missions.
  • Mission Design and Operations: Participate in mission design and operations planning for robotic space missions, including mission analysis, simulation, and risk assessment for successful mission execution.