In modern CNC (Computer Numerical Control) machining minimizing processing time while respecting kinematic constraints is critical for efficiency. This paper presents a novel approach for generating time-optimal, point-to-point trajectories for G01 segments, specifically designed to operate with low computational power and cost-effective hardware. The algorithm includes four key steps: inverse kinematics extraction, trapezoidal velocity profile generation, synchronization of movement times across axes, and the application of a genetic algorithm to optimize axis speeds between consecutive blocks. This method can handle arbitrary machine architectures and axis configurations, making it highly versatile.

Time-Optimal Point-to-Point Trajectory Generation for G01 Segments

guido chizzoli
Primo
2022

Abstract

In modern CNC (Computer Numerical Control) machining minimizing processing time while respecting kinematic constraints is critical for efficiency. This paper presents a novel approach for generating time-optimal, point-to-point trajectories for G01 segments, specifically designed to operate with low computational power and cost-effective hardware. The algorithm includes four key steps: inverse kinematics extraction, trapezoidal velocity profile generation, synchronization of movement times across axes, and the application of a genetic algorithm to optimize axis speeds between consecutive blocks. This method can handle arbitrary machine architectures and axis configurations, making it highly versatile.
2022
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
motion planning
trajectory generation
cnc
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/519991
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