Available courses

The PID controller is the most pervasive technology applied in the control of complex industrial production processes.  In spite of its extensive commercial use the PID controller is poorly understood by the majority of industry practitioners.  Limited knowledge of process dynamics and of proven methods for calculating both model and tuning parameters places unnecessary constraints on the PID’s effectiveness.


Techniques for Applied Process Control provides a thorough understanding of process dynamics and examines both concepts and techniques associated with maintaining basic thru advanced PID control systems.  The course covers industrially relevant control systems, and it stresses a systematic approach for the diagnosis and optimization of underperforming PID-based control loops. The course  curriculum is comprised of the following segments:

TRAINER covers the critical link between instrumentation and effective regulatory control.
Instrumentation can be found virtually everywhere in a typical production facility.  It plays a critical role in the control of complex production processes.  With its direct link to achieving and maintaining effective regulatory control practitioners –both current and future – benefit from a better understanding of instrumentation’s capabilities along with its limitations.  This course provides that understanding.

Fundamentals of Instrumentation and Process Control highlights sensors, transducers, and smart transmitters; temperature, pressure, and flow measurement; valves and pumps; among other important topics related to the physical layer of a plant’s regulatory control environment. It also explores the critical relationship between instrumentation and PID-based control systems.  The course curriculum is comprised of the following segments:

  • Basics of Process Control
  • Process Dynamics
  • Signals and Aliasing
  • Measuring Temperature and Pressure
  • Measuring Level and Flow
  • Pumps and Valves
  • Proportional Control
  • Integral Action and PI Control
  • Formal Approach to Controller Design
  • Derivative Mode and PID Control
  • PID Control with Derivative Filter