TECHMATION provides PROCESS CONTROL TRAINING designed to bridge the gap between theory and practice

TECHMATION offers on or off-site to best suit our customers needs. We have found that process plants around the world are feeling competitive pressures with escalating demand for lower cost, higher quality products at reasonable profit margins. Obtaining and maintaining optimum performance of the plant control system can make a measurable difference in plant operations and bottom line profits. Techmation training and education can contribute to this management strategy.

Optimum performance can make a measurable difference in plant operations and bottom line profits. Typically most process control training courses fall into three categories. That is, the application of general rules of thumb that are too simplistic for use in optimizing real world control systems, control theory courses that teach process control from a theoretical and mathematical standpoint with little direct application, and control system vendor schools that stress the operation of the control system.

Training by Objective For each course offered, general and specific objectives are established. Each objective is addressed to ensure that the student gains the required knowledge and proficiency to to transfer the skills learned to real world process problems.


Hands-on training in both courses allow each student to apply the new skills in an off-line, no risk environment, by solving and implementing solutions to simple and complex control problems. Benefits of Techmation training courses to your plant

  • Improve the regulatory control of your process
  • Increase product quality
  • Save raw materials Reduce trouble shooting and down time
  • Lower pollution
  • Save energy
  • Enhance bottom line profits


Proper Protuner application to troubleshoot and optimize on-line control systems and gain a better understanding of process control.

Course 1 stresses the optimization of existing plant systems providing for a full day of on-line application of the skills learned.

  • Four Day Program
  • Classroom Lecture and Lab
  • Analysis of Field Test Data
  • Dynamic Simulation
  • In-Plant Application

Who should attend

This course is for Maintenance Technicians, Control Engineers, and other persons responsible for the operation and maintenance of the plant control system.


  • Final control elements
  • Operational Characteristics
  • PID controllers
  • Process dynamics
  • Protuner operation
  • Test procedures to identify control problems such as: Signal Noise, Stiction, Deadband, Linearity.
  • Equipment Sizing
  • Loop analysis
  • Control system optimization
  • Cascade control
  • Field application of the Protuner on live loops in your plant


Upon successful completion of this course the student should be able to:

  • Determine the testing sequence to optimize each loop in a control system.
  • Connect and setup the Protuner
  • Perform control loop analysis tests to troubleshoot and tune feedback control systems for optimum closed loop performance
  • Understand the test techniques to optimize advanced control strategies such as: feedforward, ratio, blending, cascade, adaptive gain.


Concepts of multi-loop control and the techniques to successfully optimize control loop operation.

Course 2 stresses the design and optimization of advanced control strategies using existing control algorithms.

  • Three Day Program
  • Classroom Lecture and Lab
  • Implement Feedforward Dynamic Compensators
  • Implement Cascade and Multiple Feedforward Dynamic Compensators
  • Optimize the Operation of Dynamically Coupled Interactive Processes

Who should attend

This course is for Project, Process Control, Instrument, and System Engineers who wish to increase their knowledge of the more complex applications of process control.


  • Control system objectives
  • Testing procedures to optimize advanced control strategies
  • Loop analysis
  • Block diagram modeling
  • Operation of Protuner Simulator
  • Feedback and Feedforward control
  • Interactive control
  • Decoupling strategies
  • Relative gain Array
  • Statistical analysis
  • Spectral analysis
  • Workbook


Upon successful completion of this course the student should be able to:

  • Use Frequency Plots to model the process for simulation and design alternate controller tuning parameters
  • Implement feedforward dynamic compensators to reduce the effects of load disturbances by an order of magnitude on the controlled variable
  • See the effects of dynamics on the design and implementation of cascade and multiple feedforward dynamic compensators
  • Spectral analysis and statistical techniques to understand magnitude, frequency and controllability of load disturbances.

"Optimization of Regulatory Control Systems"