Download our white papers and technical articles to learn about motion control solutions, components and motor control architectures. Explore your options and develop the best strategy for balancing lab automation and robotics costs, reliability, maintenance, and time-to-market.
S-curve motion profiles add “smoothing” segments to the traditional 3-phase trapezoidal profile (accelerate, coast, decelerate). Why is this better? The answer is beyond the motor, at the load itself.
Get a detailed look at motion control amplifiers. Making the right design choice when selecting a motion control amplifier can have a big impact on your machine's cost and performance.
Servo Motors And Drives, Motion Control Techniques
Is servo motor tuning rocket science or a walk in the park? You decide! This article offers an overview of proportional, integral, derivative (PID) based servo tuning, and two standard manual tuning methods that work well for a large variety of machine designs. It shows that optimal parameters vary with application and performance goals, even for the exact same motor and amplifier setup.
Many motion applications require precise synchronization of one or more axes. Understand some of the important approaches toward motion synchronization and have some fun with a motion synchronization video from the PMD lab.
Advanced Motion Control, Packaging, Motion Control Techniques
TENSIONING – GEARING - CAMMING - In this article we will review three widely used motion control techniques: web tension control, proportional material spacing, and CAM-based synchronized profiling.
Motion controllers are complex animals, no doubt about it. But with a few tips from the experts about proper specification, location, and avoidance of mishaps, choosing the right controller for the job is as easy as one, two, three.
Get an overview of proportional, integral, derivative (PID) based servo loops. We’ll introduce two standard manual tuning methods that work well for a large variety of systems.
Can a machine create art? The goal of this project was to bridge the gap between robotic and human capabilities through the development of an autonomous painting robot. Using PMD's machine controller board, this innovative team of students created a robot that mimic'd the motions undertaken by painters.