This course is for those responsible for maintaining process control performance using instrumentation and control loop tuning.

MLT is a 3-day course that introduces participants to effective methods for determining optimal tuning parameters for regulation of processes. The non-oscillatory  EnTech tuning techniques, based on Lambda concepts, are taught with a focus on minimizing process variability. Effectiveness is gained by the implementation of a tuning strategy that matches control element dynamics to process operating requirements. It contains formal lectures that are amply populated with process examples and supported with hands-on lab exercises using PC-based process simulators. Participants learn how to recognize acceptable/ unacceptable control loop performance and to identify the most common source of problems. Fundamental tuning concepts, including the PID controller, process dynamics, valve motion characteristics (backlash and stiction), setpoint tracking and regulation, minimum variance, integrating processes, and level control are reviewed and demonstrated using case study examples. 

Some experience with process instrumentation and control is helpful.

• Process Dynamics - Control Loops, Bump Tests, Process Responses, First Order, Gain, Time Constant, Deadtime, Filtering, Non- Linearities, Control Res., Valve Dynamics
• PI Controller Tuning First Order Processes - Automatic Control, PID Equations, Tuning Methods, Lambda Tuning, Filtering
• Setpoint/Disturbance Responses - Regulatory Control, Setpoint Tracking, Frequency Response- Cascade Control and Interactive Loops
• Tuning Level Controllers for Load Recovery - Integrating Processes, Tuning for Load Recovery, Setpoint Responses, Dampening
• Hands-on Labs, Using a High Fidelity Process Simulator, Provide the Student with an Opportunity to Exercise all the Loop Tuning Concepts Presented
  

Cost: $ 1,700 (US $) *

* For on-site courses, the price is based on the number of participants per class. Class size is limited to 10 students / instructor.
 

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