The SERVOsoft® Optimizer Pro, developed working in close partnership with ControlEng Corporation, now provides a one click solution for Curve Fitting.

Use Curve Fitting to build a move that is as fast as possible within rated limits that you specify, that actually “curve fits” to one or more rated curves. The Curve Fitting Tutorial shows how easy it can be done:

Ever thought about letting your machines horses run free? But you can’t find suitable motion profiles for getting everything out.

Then let us turn the tables by looking at your drives, motors, gearboxes and mechanisms constraints and generate an optimal suitable motion profile to see what your machine is able to take to the streets.

This exactly is Curve Fitting available in the SERVOsoft® v4 Optimizer PRO from ControlEng Corporation.

For example if you have created a modified sine shaped profile for your movement like here…

… with a motor and inverter characteristics fit like that:

Then simply click “Create Curve Fit Spline” for each the accel and decel phase and select your desired optimization target…

… to achieve an optimized motion profile reducing the process time here for example from 0.7 to 0.5 seconds…

… with a perfect suitable fit to the motor and inverter characteristics like that:

Curve Fitting finds the optimal ramps. No guessing. No more “it’s good enough”.

With a click and within seconds, you get the optimal ramp profile. If you compete on performance, then Curve Fitting is a must!

Many processes require a dynamic point-to-point reversal movement or a point-accurate smoothing.

With our approach of Linear Splines for motion and our numerical solver methods, a highly dynamic, precise movement can be achieved.

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The video illustrates how a Linear Spline is simply defined via the four center reversal points (1, 1) (2, -1) (3, 3) and (4, -0.5) and this is then automatically modified so that over these reversal points is driven very dynamically. It is not necessary to stop at the reversal points, but the velocity (orange) has a zero crossing. In addition, one can also see that the acceleration (green), modeled with a polynomial of the degree 7, is capped at the respective maximum.

For further handling, the resulting Linear Spline with smoothing polynomials can be easily mapped to every common motion control system as a cam, so that no special manufacturer-dependent operating system is necessary.

Green Automation in Motion easily explained in the journal Robotik und Produktion Ausgabe 2 2016. We hope you enjoy reading (for the English translation see pages 3 and 4).