Skip to content

How to Tune Servo Systems: Sensor Resolution & Sample Time


About the Webinar

Among the most troubling tasks in machine building can be tuning the servo system to meet or exceed the performance specification. Invariably, we have all sat at the machine and asked ourselves, “What three numbers should I put in this proportional-integrated-derivative (PID) controller?” However, when tuning, it is not always about the PID gains. Many other factors affect the tuning and can be changed to improve machine performance. This webinar series will discuss aspects of controller design, including control loop structures and using frequency-based tools for gain selection, filter selection and machine characterization.

Presenter Joseph Profeta, who has nearly three decades of experience working on challenging automation solutions for a variety of industries, will explain the steps he takes to optimize the performance of motion systems.

Tuning Servo Systems: Sensor Resolution & Sample Time

Parts one and two addressed basic tuning strategies and how to tune for optimal performance. Part three will illustrate how feedback resolution and servo sample time affect servo system performance, as well as how these parameters affect the PID and feedforward gains when tuning digital control systems.

Learning Objectives

  • Understand how encoder resolution affects system performance
  • Understand how servo sample time affects system performance
  • Explore the impact that these factors have on PID values and feedforward gains
  • Understand basics of digital controller modelling

Who Should Attend

Engineers and researchers who design and build automation equipment with servo technology to achieve medium- and high-performance control of position, velocity and/or force would benefit from attending. The webinar would be helpful to those involved in a wide range of automation applications from laser processing, semi-conductor inspection, die bonding, winding applications and labelling systems.

Joe Profeta (1)

Dr. Profeta has more than 30 years of experience in technology-driven companies. He is the Director of the Control Systems Group at Aerotech Inc., with P&L responsibility for the controls, drives and motors. In this role, he works with companies to design and select control system architectures that result in increased machine performance while minimizing component cost. He has earned a BS, MS and Ph.D., and Executive MBA. He has been awarded five patents and published 43 papers. Dr. Profeta is also an Adjunct Professor in the Electrical and Computer Engineering department at the University of Pittsburgh where he teaches software engineering and mechatronics. You can contact Joseph at [email protected] or +1.412.967.6839.