Have a personal or library account? Click to login
Jerk Limited Feedrate Profile Optimization for Nurbs Toolpaths in Cnc Machines with H-Bot Kinematics Cover

Jerk Limited Feedrate Profile Optimization for Nurbs Toolpaths in Cnc Machines with H-Bot Kinematics

Open Access
|Dec 2025

Abstract

This paper presents an algorithm for generating the feedrate profile for Computerized Numerically Controlled (CNC) machines with non-Cartesian H-Bot kinematics. Feedrate profile defines the relationship between the end-effector or tool velocity tangent to the toolpath and time or the toolpath's parameter. To maximize machining effectiveness the feedrate should be as high as possible. However, the feedrate, acceleration and jerk of the end-effector and individual machine axes should be within their respective limits. The toolpath is defined as a Non-Uniform Rational B-Spline (NURBS) polynomial curve to ensure smooth motion. This makes the problem more difficult for non-Cartesian machines due to non-linear dependencies between kinematic parameters of the end effector and the machine's axes. In this paper Particle Swarm Optimization (PSO) gradient free algorithm is used to determine the optimal shape of the feedrate profile to achieve shortest travel time within the velocity, acceleration and jerk constraints imposed by the machine's axes. Compared to more common approaches the profile is initialized with a near-optimal shape determined by a feedrate limit curve and then optimized to the final shape. The method is experimentally verified on an actual H-Bot gantry plotter. Presented results show that the proposed method effectively generates a feedrate profile within the imposed limits.

DOI: https://doi.org/10.2478/ama-2025-0075 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Language: English
Page range: 665 - 672
Submitted on: Jul 17, 2025
Accepted on: Nov 24, 2025
Published on: Dec 19, 2025
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Krystian ERWIŃSKI, Patryk USTASZEWSKI, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.