NURBS curve adaptive five-segment acceleration and deceleration control algorithm

2020 ◽  
Author(s):  
Wei Chen ◽  
Wending Yuan ◽  
Zhenyu Zhu ◽  
Xiaoqing Zhang
Keyword(s):  
Control Algorithm ◽  
Nurbs Curve ◽  
Acceleration And Deceleration

scholarly journals Simulation of NURBS Curve Interpolation Algorithm and Five S-Phased Acceleration and Deceleration Control Algorithm

2011 ◽  
Vol 2-3 ◽  
pp. 619-623
Author(s):  
Geng Zhu Wang
Keyword(s):  
Computer Simulation ◽  
Control Algorithm ◽  
Control Method ◽  
Simulation Method ◽  
Interpolation Algorithm ◽  
Nurbs Curve ◽  
Computer Simulation Method ◽  
Curve Interpolation ◽  
Acceleration And Deceleration

The computer simulation method is used to test the correctness of the NURBS curve interpolation algorithm, through the comparison of the five S-phased curve acceleration and deceleration control method and the line acceleration and deceleration control method, to validate the superiority of the five S-phased curve acceleration and deceleration control method.

Velocity control algorithm in glass polishing based on the cubic NURBS curve

2017 ◽  
Vol 232 (4) ◽  
pp. 685-696 ◽  
Author(s):  
Junzhao Han ◽  
Wenhua Chen
Keyword(s):  
Control Algorithm ◽  
Linear Acceleration ◽  
Control Points ◽  
Velocity Control ◽  
Polishing Process ◽  
Nurbs Curve ◽  
Weighting Factors ◽  
Final Velocity ◽  
Contact Points ◽  
Glass Polishing

To limit velocity fluctuations and to achieve a controllable jerk value in a glass polishing process, a new velocity control algorithm is proposed based on nonuniform rational B-splines (NURBS). The key of this algorithm is replacing the traditional linear acceleration–deceleration with flexible NURBS acceleration–deceleration. Based on the linear acceleration–deceleration algorithm, the control points of the NURBS curve are confirmed, and the final velocity of the polishing wheel center is solved using the Preston equation. With jerk continuity and limitations of the servo system, nonlinear equations are constructed, and the weighting factors corresponding to the control points are obtained. Cubic velocity control equations can be derived from the obtained feature parameters, which include the final velocity, control points, weighting factors and knot vectors. Based on the proposed NURBS acceleration–deceleration algorithm, a fourth-order Runge–Kutta formula was used to obtain the initial points, and the Milne–Hamming equation was used to predict and correct the next point. The predictor-corrector interpolation algorithm for parametric trajectory was implemented during the polishing process. The experimental results indicate that the proposed approach guarantees limited fluctuations of the relative velocity at contact points and ensure smoother velocity changes at dangerous points.

Research on Digital Control of Meter-In and Meter-Out Independent Regulating for High Inertia Load

1999 ◽  
Author(s):  
Qingfeng Wang ◽  
Linyi Gu ◽  
Yongxiang Lu
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Dynamic Process ◽  
Control Algorithm ◽  
Damping Ratio ◽  
State Feedback Control ◽  
Hydraulic Systems ◽  
Outlet Pressure ◽  
Acceleration And Deceleration ◽  
Valve Control

Abstract The smoothness of acceleration and deceleration process is a serious problem in valve control system with high inertia load, especially in the hydraulic systems in construction machines. In this paper, a meter-in and meter-out independent regulating method, in which the two sides of actuator are controlled by a meter-in valve and a meter-out valve respectively, is put forward, in one hand, the meter-out valve could control the actuator’s outlet pressure to avoid the ultra-high outlet pressure when actuator decelerates or brakes suddenly. On the other hand, the dynamic damping ratio of valve control system could be raised through calculated flow feedback control algorithm. Secondly, a grading control algorithm in dynamic process of high inertia load is adopted. When the actuator’s velocity is far from its command value, the actuator’s inlet and outlet pressure are controlled. After the velocity error decrease to a threshold, a state feedback control algorithm based on parameters on line estimating is employed to realize both its velocity accuracy and the smoothness of dynamic process. Experiments show that the actuator’s velocity could increase or decrease to its command value accurately, smoothly and rapidly after the above method and algorithm are applied.

scholarly journals The Real-Time Look-Ahead NURBS Curve Interpolation Algorithm

2011 ◽  
Vol 2-3 ◽  
pp. 523-526
Author(s):  
Geng Zhu Wang
Keyword(s):  
Real Time ◽  
Transition Curve ◽  
Interpolation Algorithm ◽  
Nurbs Curve ◽  
The Real ◽  
Look Ahead ◽  
Time Period ◽  
Curve Interpolation ◽  
Acceleration And Deceleration ◽  
Deceleration Time

To ensure a given chord error, through the division of the cusp, the NURBS (Non-Uniform Rational B-Splins) curve is divided into several sections and the speed of the various sections is planned accordingly. The acceleration and deceleration time period is recalculated, which results in a smooth speed transition curve.

A FPGA-Based Motion Control IC for X-Y Table

2011 ◽  
Vol 88-89 ◽  
pp. 67-71
Author(s):  
Bao Shan You ◽  
Kai Feng Liu ◽  
Feng Lian Zeng ◽  
Li Ying Pei
Keyword(s):  
Motion Control ◽  
High Performance ◽  
Control Algorithm ◽  
Low Cost ◽  
Logic Device ◽  
Embedded Processor ◽  
Logic Control ◽  
Field Programmable ◽  
Acceleration And Deceleration ◽  
New Generation

The new generation of Field Programmable Gate Array (FPGA) technology enables to embed a processor to construct a System on a Programmable Chip( SoPC). A stepper motion control IC for X-Y table using SoPC technology is proposed in this thesis. The proposed motion control IC contains two modules. One module performs the functions of schedule and logic control. Due to the need of complicated control algorithm, it is implemented by software using Nios II embedded processor. The other module performs the functions of interpolation, acceleration and deceleration. Due to the need of high performance, this module is implemented by Programmable Logic Device (PLD) in FPGA. The use of SoPC technology can make the motion control IC of X-Y table more compact, high performance and low cost .

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