S curve acceleration and deceleration control method based on moving average algorithm

Abstract

The invention relates to an S curve acceleration and deceleration control method based on a moving average algorithm. The method comprises the following steps: S1, Taylor expansion of a trigonometric function is used to solve a preliminary expression for a velocity v(t) before optimization; S2, an optimal solution algorithm is used to calculate coefficients in the preliminary expression for the velocity v(t) before optimization, and a final expression for the velocity v(t) before optimization is obtained; and S3, the moving average algorithm is adopted to optimize the v(t), and an expression for the velocity V(t) after optimization is obtained. An S curve acceleration and deceleration control method based on the trigonometric function is adopted, moving average filtering is carried out on the basis, the operation time is short, the performance is excellent, and processing requirements of a high-grade numerical control system can be well met.

Description

technical field [0001] The invention belongs to the field of motion control, in particular to an S-curve acceleration and deceleration control method based on a moving average algorithm. Background technique [0002] Acceleration and deceleration technology is one of the key technologies of the CNC system, and the quality of the algorithm directly determines the processing efficiency and processing accuracy. An excellent acceleration and deceleration algorithm can not only ensure that the machine tool does not have impact, out of step, overtravel and vibration during the process of starting or stopping, but also meets the characteristics of simple algorithm, short acceleration and deceleration time, and strong real-time performance. [0003] Commonly used acceleration and deceleration algorithms include linear acceleration and deceleration, exponential acceleration and deceleration, and S-curve acceleration and deceleration. Although the first two algorithms are simple, the...

AI Technical Summary

Problems solved by technology

Although the first two algorithms are simple, they cannot be processed flexibly, and they are easy to impact the workpiece during processing, which cannot meet the requirements of high speed and high precision.

Now the general medium and high-end machine tools will implement the S-curve acceleration and deceleration control method, but the ordinary 7-segment S-curve acceleration and deceleration also has the disadvantages of complex calculation and jerk discontinuity

Images