Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 146 for “"Trajectory Optimization"”.
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Orbital transfer trajectory optimization
Recent developments in astronautical engineering have led to the adoption of low thrust rocket engines for spacecraft. Optimizing the orbital transfers for low thrust engines is significantly more complicated than optimizing transfers for impulsive engines because a continuous control law must be …
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Deep Learning for Space Trajectory Optimization
L'abstract è presente nell'allegato / the abstract is in the attachment
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Trajectory optimization involving powered planetary swingbys,
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1973.
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Trajectory optimization in the presence of constraints
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1989.
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Trajectory optimization using mixed-integer linear programming
… of decisions about terminal constraints in the optimization, such as assignment of waypoints to UAVs and the assignment of spacecraft to positions in a formation. These requirements lead to non-convex constraints and difficult optimizations. However, they can be formulated as mixed-integer …
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Spacecraft trajectory optimization using many embedded Lambert problems
Improvement of spacecraft trajectory optimization approaches, methods, and techniques is critical for better mission design. Preliminary low-fidelity analysis precedes high-fidelity analysis to efficiently explore the space of a problem. The work of this dissertation extends an embedded boundary …
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Machine learning-aided trajectory optimization and tour design
… space mission design, with a focus on trajectory optimization and tour design for interplanetary missions involving multiple gravity assists. In early-stage trajectory analysis, the repeated solution of Lambert’s problem often becomes a major computational bottleneck. Meanwhile, the …
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Interplanetary Trajectory Optimization with Automated Fly-By Sequences
… strengths and weaknesses when applied to a given optimization problem. One way to mitigate limitations is to combine different solvers in an island model that allows these algorithms to share solutions. The program Spacecraft Trajectory Optimization Suite (STOpS) is an island model suite of …
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Continuous Low-Thrust Trajectory Optimization: Techniques and Applications
Trajectory optimization is a powerful technique to analyze mission feasibility during mission design. High-thrust trajectory optimization problems are typically formulated as discrete optimization problems and are numerically well-behaved. Low-thrust systems, on the other hand, operate for …
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Real-Time Trajectory Optimization for High-Performance Guidance & Control
Autonomous systems of today rely on trajectory planning to achieve complex tasks. With the increasing capabilities of such systems, there is a need for a framework that not only allows for accurate modeling of these tasks, but also enables real-time generation of feasible trajectories to achieve …
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Improved collocation methods with application to direct trajectory optimization
… problems. These methods are used in direct optimization methods where the original optimal control problem formulation is converted to a nonlinear programming problem. This conversion is performed by first discretizing the solution time history using parameters to represent discrete values …
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Dynamic legged locomotion through trajectory optimization and reinforcement learning
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms
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Real-time trajectory optimization for excavators by power maximization
… soil towards task oriented goals. The real-time optimization, which used methods from extremum seeking control, was implemented in simulation and then on a small scale simulation rig which validated the method. It was shown that power maximization as a strategy of trajectory adaptation for …
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Reconfigurable Autonomous Surface Vehicles : perception and trajectory optimization algorithms
… in turn contribute to the motion planning and trajectory optimization toolbox for unmanned aerial vehicles (UAVs), self-driving cars, and other autonomous systems.
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An application of the A* search to trajectory optimization
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1990.
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Real-time trajectory optimization using a constrained genetic algorithm
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1993.
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High-fidelity low-thrust trajectory optimization to the lunar gateway
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Exploiting structures of trajectory optimization for efficient optimal motion planning
Trajectory optimization is an important tool for optimal motion planning due to its flexibility in cost design, capability to handle complex constraints, and optimality certification. It has been widely used in robotic applications such as autonomous vehicles, unmanned aerial vehicles, humanoid …
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S*: Geometric Multimodal Trajectory Optimization via Apex Interpolating Spiro Splines
Non-heuristic multimodal trajectory optimization is widely considered an intractable holy grail for real-time robotic systems, with the existing state-of-the-art standing at a heuristic hierarchical approach that stacks upstream search-based or sampling-based behavior planning on top of downstream …
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Guiding Nonconvex Trajectory Optimization with Hierarchical Graphs of Convex Sets
Collision-free motion planning with trajectory optimization is inherently nonconvex. Some of this nonconvexity is fundamental: the robot might need to make a discrete decision to go left around an obstacle or right around an obstacle. Some of this nonconvexity is potentially more benign: we might …
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