An interpolation method based on adaptive smooth feedrate scheduling and parameter increment compensation for NURBS curve

Author(s):  
Bo Xu ◽  
Yi Ding ◽  
Wei Ji
2011 ◽  
Vol 130-134 ◽  
pp. 147-153 ◽  
Author(s):  
Liang Zhao ◽  
Kai Qiang Chen ◽  
Zhi Zheng Zhang

The traditional interpolation methods can’t get high-precision result for the path planning of industrial robot, to solve this problem, this paper presented a new interpolation method based on NURBS curve. The paper established the kinematics transformation matrix of SCARA robot, put forward the principle of NURBS curve interpolation, and described the details of trajectory planning for industrial robot in the rectangular space. Finally, the method mentioned in the paper was tested and compared with point to point interpolation method by Matlab simulations, the result showed that the method mentioned in the paper can reduce the interpolation error and the computational cost markedly.


2009 ◽  
Vol 83-86 ◽  
pp. 696-703 ◽  
Author(s):  
Jeng Nan Lee ◽  
Chien Nan Li

The scroll profile is complex with involute curve and high precision is required. Owing to the interpolation method has significant effects on the dynamic behaviour and to obtain the flexibility of the machining, this paper focuses on the development of a computer-aided manufacturing methodology for precision scroll by the combination of curve fitting and CNC interpolation. In this paper, the method for design and manufacture of the scroll profile is established based on the differential geometry and the enveloping theory. The cutter location using the cylindrical end mill is derived and the cutting path sequences are planned. Three types curve fitting methods: linear fitting, circular biarcs curve fitting, and NURBS curve fitting are adopted to approximate the toolpath of the scroll profile. The error control is used as the basis for generating appropriate toolpath to ensure the machining accuracy. The circular biarcs fitting and NURBS curve fitting can obtain continuous smooth toolpath. In the identical chordal deviation, the circular biarcs curve fitting provides the best performance. The toolpath generated by the proposed method is verified through the solid cutting simulation and the trial-cut on a three-axis machine tool.


1999 ◽  
Author(s):  
Tao Luo ◽  
Wen F. Lu

Abstract A novel neural-fuzzy system is developed by using the NURBS (Non-uniform Rational B-spline) curve as the membership functions in this paper. The neural-fuzzy system uses the fuzzy logic rule to estimate the output of the systems and uses the weight updating method in neural networks to adjust the rules. The NURBS interpolation method is proposed to construct adaptable membership functions for the proposed neural-fuzzy system. Since the shape of a NURBS curve is controlled by adjusting the control vertices and their weights, changing a control vertex and its weight will only affect the curve shape locally. This local control property reduces the number of iterations of learning in the system. Due to the adaptability of the NURBS membership function, the proposed system will need fewer fuzzy rules compared to existing systems but result in faster error convergence and better accuracy in system identification. The simulation results in Test Examples show that the presented NURBS neural-fuzzy system can identify complex systems with good accuracy and fast learning speed.


2021 ◽  
Author(s):  
Xin Jiang ◽  
Yifei Hu ◽  
Guanying Huo ◽  
Cheng Su ◽  
Bolun Wang ◽  
...  

Abstract In computer numerical control systems, linear segments, which are generated by computer-aided manufacturing software, are the most widely used toolpath format. Since the linear toolpath is discontinuous at the junction of two adjacent segments, the fluctuations on velocity, acceleration and jerk are inevitable. Local corner smoothing is widely used to address this problem. However, most existing methods use symmetrical splines to smooth the corners. When any one of the linear segments at the corner is short, to avoid overlap, the inserted spline will be micro, thereby increasing the curvature extreme of the spline and reducing the feedrate along it. In this article, the corners are smoothed by a 𝐶4 continuous asymmetric Pythagorean-hodograph (PH) spline. The curvature extreme of the proposed spline is investigated first, and 𝐾=2.5 is determined as the threshold to constarin the asymmetry of the spline. Then a two-step strategy is used to generate a blended toolpath composed of asymmetric PH splines and linear segments. In the first step, the PH splines at the corners are generated under the premise that the transition lengths do not exceed half of the length of the linear segments. In the second step, the splines at the corners are re-planned to reduce the curvature extremes, if the transition error does not reach the given threshold and there are extra linear trajectories on both sides of the spline trajectory. Finally, the bilinear interpolation method is applied to determine the critical points of the smoothed toolpath, and a jerk-continuous feedrate scheduling scheme is presented to interpolate the smoothed toolpath. Simulations show that, under the condition of not affecting the machining quality, the proposed method can improve the machining efficiency by 7.84% to 23.98% compared to 𝐺3 and 𝐺4 methods.


Author(s):  
Xudong Weng ◽  
O.F. Sankey ◽  
Peter Rez

Single electron band structure techniques have been applied successfully to the interpretation of the near edge structures of metals and other materials. Among various band theories, the linear combination of atomic orbital (LCAO) method is especially simple and interpretable. The commonly used empirical LCAO method is mainly an interpolation method, where the energies and wave functions of atomic orbitals are adjusted in order to fit experimental or more accurately determined electron states. To achieve better accuracy, the size of calculation has to be expanded, for example, to include excited states and more-distant-neighboring atoms. This tends to sacrifice the simplicity and interpretability of the method.In this paper. we adopt an ab initio scheme which incorporates the conceptual advantage of the LCAO method with the accuracy of ab initio pseudopotential calculations. The so called pscudo-atomic-orbitals (PAO's), computed from a free atom within the local-density approximation and the pseudopotential approximation, are used as the basis of expansion, replacing the usually very large set of plane waves in the conventional pseudopotential method. These PAO's however, do not consist of a rigorously complete set of orthonormal states.


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