/  Tuning Control Loops, Feedback and Advanced Controllers Training

Tuning Control Loops, Feedback and Advanced Controllers Training

BMC Training provides a training course in Tuning Control Loops, Feedback and Advanced Controllers in Electrical and Power Engineering Training

Course Title
Venue
Start Date
End Date
  • Istanbul
    27 - 1 - 2019
    31 - 1 - 2019
  • Bali
    27 - 1 - 2019
    31 - 1 - 2019
  • Singapore
    27 - 1 - 2019
    31 - 1 - 2019
  • Kuala Lumpur
    20 - 1 - 2019
    24 - 1 - 2019
  • Rome
    20 - 1 - 2019
    24 - 1 - 2019
  • Barcelona
    20 - 1 - 2019
    24 - 1 - 2019
  • Zurich
    20 - 1 - 2019
    24 - 1 - 2019
  • London
    13 - 1 - 2019
    17 - 1 - 2019
  • Madrid
    13 - 1 - 2019
    17 - 1 - 2019
  • Munich
    13 - 1 - 2019
    17 - 1 - 2019
  • Berlin
    13 - 1 - 2019
    17 - 1 - 2019
  • Dubai
    6 - 1 - 2019
    10 - 1 - 2019
  • Paris
    6 - 1 - 2019
    10 - 1 - 2019
  • Hong Kong
    6 - 1 - 2019
    10 - 1 - 2019
  • Kuala Lumpur
    24 - 2 - 2019
    28 - 2 - 2019
  • Rome
    24 - 2 - 2019
    28 - 2 - 2019
  • Barcelona
    24 - 2 - 2019
    28 - 2 - 2019
  • Zurich
    24 - 2 - 2019
    28 - 2 - 2019
  • London
    17 - 2 - 2019
    21 - 2 - 2019
  • Madrid
    17 - 2 - 2019
    21 - 2 - 2019
  • Munich
    17 - 2 - 2019
    21 - 2 - 2019
  • Berlin
    17 - 2 - 2019
    21 - 2 - 2019
  • Istanbul
    10 - 2 - 2019
    14 - 2 - 2019
  • Bali
    10 - 2 - 2019
    14 - 2 - 2019
  • Singapore
    10 - 2 - 2019
    14 - 2 - 2019
  • Dubai
    3 - 2 - 2019
    7 - 2 - 2019
  • Paris
    3 - 2 - 2019
    7 - 2 - 2019
  • Hong Kong
    3 - 2 - 2019
    7 - 2 - 2019
  • Istanbul
    17 - 3 - 2019
    21 - 3 - 2019
  • Bali
    17 - 3 - 2019
    21 - 3 - 2019
  • Singapore
    17 - 3 - 2019
    21 - 3 - 2019
  • Kuala Lumpur
    10 - 3 - 2019
    14 - 3 - 2019
  • Rome
    10 - 3 - 2019
    14 - 3 - 2019
  • Barcelona
    10 - 3 - 2019
    14 - 3 - 2019
  • Zurich
    10 - 3 - 2019
    14 - 3 - 2019
  • London
    3 - 3 - 2019
    7 - 3 - 2019
  • Madrid
    3 - 3 - 2019
    7 - 3 - 2019
  • Munich
    3 - 3 - 2019
    7 - 3 - 2019
  • Berlin
    3 - 3 - 2019
    7 - 3 - 2019
  • Dubai
    24 - 3 - 2019
    28 - 3 - 2019
  • Paris
    24 - 3 - 2019
    28 - 3 - 2019
  • Hong Kong
    24 - 3 - 2019
    28 - 3 - 2019
  • Kuala Lumpur
    28 - 4 - 2019
    2 - 5 - 2019
  • Rome
    28 - 4 - 2019
    2 - 5 - 2019
  • Barcelona
    28 - 4 - 2019
    2 - 5 - 2019
  • Zurich
    28 - 4 - 2019
    2 - 5 - 2019
  • London
    7 - 4 - 2019
    11 - 4 - 2019
  • Madrid
    7 - 4 - 2019
    11 - 4 - 2019
  • Munich
    7 - 4 - 2019
    11 - 4 - 2019
  • Berlin
    7 - 4 - 2019
    11 - 4 - 2019
  • Istanbul
    14 - 4 - 2019
    18 - 4 - 2019
  • Bali
    14 - 4 - 2019
    18 - 4 - 2019
  • Singapore
    14 - 4 - 2019
    18 - 4 - 2019
  • Dubai
    21 - 4 - 2019
    25 - 4 - 2019
  • Paris
    21 - 4 - 2019
    25 - 4 - 2019
  • Hong Kong
    21 - 4 - 2019
    25 - 4 - 2019
  • Istanbul
    12 - 5 - 2019
    16 - 5 - 2019
  • Bali
    12 - 5 - 2019
    16 - 5 - 2019
  • Singapore
    12 - 5 - 2019
    16 - 5 - 2019
  • Kuala Lumpur
    5 - 5 - 2019
    9 - 5 - 2019
  • Rome
    5 - 5 - 2019
    9 - 5 - 2019
  • Barcelona
    5 - 5 - 2019
    9 - 5 - 2019
  • Zurich
    5 - 5 - 2019
    9 - 5 - 2019
  • London
    19 - 5 - 2019
    23 - 5 - 2019
  • Madrid
    19 - 5 - 2019
    23 - 5 - 2019
  • Munich
    19 - 5 - 2019
    23 - 5 - 2019
  • Berlin
    19 - 5 - 2019
    23 - 5 - 2019
  • Dubai
    26 - 5 - 2019
    30 - 5 - 2019
  • Paris
    26 - 5 - 2019
    30 - 5 - 2019
  • Hong Kong
    26 - 5 - 2019
    30 - 5 - 2019
  • Kuala Lumpur
    9 - 6 - 2019
    13 - 6 - 2019
  • Rome
    9 - 6 - 2019
    13 - 6 - 2019
  • Barcelona
    9 - 6 - 2019
    13 - 6 - 2019
  • Zurich
    9 - 6 - 2019
    13 - 6 - 2019
  • London
    16 - 6 - 2019
    20 - 6 - 2019
  • Madrid
    16 - 6 - 2019
    20 - 6 - 2019
  • Munich
    16 - 6 - 2019
    20 - 6 - 2019
  • Berlin
    16 - 6 - 2019
    20 - 6 - 2019
  • Istanbul
    23 - 6 - 2019
    27 - 6 - 2019
  • Bali
    23 - 6 - 2019
    27 - 6 - 2019
  • Singapore
    23 - 6 - 2019
    27 - 6 - 2019
  • Dubai
    2 - 6 - 2019
    6 - 6 - 2019
  • Paris
    2 - 6 - 2019
    6 - 6 - 2019
  • Hong Kong
    2 - 6 - 2019
    6 - 6 - 2019
  • Istanbul
    7 - 7 - 2019
    11 - 7 - 2019
  • Bali
    7 - 7 - 2019
    11 - 7 - 2019
  • Singapore
    7 - 7 - 2019
    11 - 7 - 2019
  • Kuala Lumpur
    14 - 7 - 2019
    18 - 7 - 2019
  • Rome
    14 - 7 - 2019
    18 - 7 - 2019
  • Barcelona
    14 - 7 - 2019
    18 - 7 - 2019
  • Zurich
    14 - 7 - 2019
    18 - 7 - 2019
  • London
    21 - 7 - 2019
    25 - 7 - 2019
  • Madrid
    21 - 7 - 2019
    25 - 7 - 2019
  • Munich
    21 - 7 - 2019
    25 - 7 - 2019
  • Berlin
    21 - 7 - 2019
    25 - 7 - 2019
  • Dubai
    28 - 7 - 2019
    1 - 8 - 2019
  • Paris
    28 - 7 - 2019
    1 - 8 - 2019
  • Hong Kong
    28 - 7 - 2019
    1 - 8 - 2019
  • Kuala Lumpur
    4 - 8 - 2019
    8 - 8 - 2019
  • Rome
    4 - 8 - 2019
    8 - 8 - 2019
  • Barcelona
    4 - 8 - 2019
    8 - 8 - 2019
  • Zurich
    4 - 8 - 2019
    8 - 8 - 2019
  • London
    11 - 8 - 2019
    15 - 8 - 2019
  • Madrid
    11 - 8 - 2019
    15 - 8 - 2019
  • Munich
    11 - 8 - 2019
    15 - 8 - 2019
  • Berlin
    11 - 8 - 2019
    15 - 8 - 2019
  • Istanbul
    18 - 8 - 2019
    22 - 8 - 2019
  • Bali
    18 - 8 - 2019
    22 - 8 - 2019
  • Singapore
    18 - 8 - 2019
    22 - 8 - 2019
  • Dubai
    25 - 8 - 2019
    29 - 8 - 2019
  • Paris
    25 - 8 - 2019
    29 - 8 - 2019
  • Hong Kong
    25 - 8 - 2019
    29 - 8 - 2019
  • Istanbul
    22 - 9 - 2019
    26 - 9 - 2019
  • Bali
    22 - 9 - 2019
    26 - 9 - 2019
  • Singapore
    22 - 9 - 2019
    26 - 9 - 2019
  • Kuala Lumpur
    1 - 9 - 2019
    5 - 9 - 2019
  • Rome
    1 - 9 - 2019
    5 - 9 - 2019
  • Barcelona
    1 - 9 - 2019
    5 - 9 - 2019
  • Zurich
    1 - 9 - 2019
    5 - 9 - 2019
  • London
    8 - 9 - 2019
    12 - 9 - 2019
  • Madrid
    8 - 9 - 2019
    12 - 9 - 2019
  • Munich
    8 - 9 - 2019
    12 - 9 - 2019
  • Berlin
    8 - 9 - 2019
    12 - 9 - 2019
  • Dubai
    15 - 9 - 2019
    19 - 9 - 2019
  • Paris
    15 - 9 - 2019
    19 - 9 - 2019
  • Hong Kong
    15 - 9 - 2019
    19 - 9 - 2019
  • Kuala Lumpur
    20 - 10 - 2019
    24 - 10 - 2019
  • Rome
    20 - 10 - 2019
    24 - 10 - 2019
  • Barcelona
    20 - 10 - 2019
    24 - 10 - 2019
  • Zurich
    20 - 10 - 2019
    24 - 10 - 2019
  • London
    27 - 10 - 2019
    31 - 10 - 2019
  • Madrid
    27 - 10 - 2019
    31 - 10 - 2019
  • Munich
    27 - 10 - 2019
    31 - 10 - 2019
  • Berlin
    27 - 10 - 2019
    31 - 10 - 2019
  • Istanbul
    6 - 10 - 2019
    10 - 10 - 2019
  • Bali
    6 - 10 - 2019
    10 - 10 - 2019
  • Singapore
    6 - 10 - 2019
    10 - 10 - 2019
  • Dubai
    13 - 10 - 2019
    17 - 10 - 2019
  • Paris
    13 - 10 - 2019
    17 - 10 - 2019
  • Hong Kong
    13 - 10 - 2019
    17 - 10 - 2019
  • Istanbul
    17 - 11 - 2019
    21 - 11 - 2019
  • Bali
    17 - 11 - 2019
    21 - 11 - 2019
  • Singapore
    17 - 11 - 2019
    21 - 11 - 2019
  • Kuala Lumpur
    24 - 11 - 2019
    28 - 11 - 2019
  • Rome
    24 - 11 - 2019
    28 - 11 - 2019
  • Barcelona
    24 - 11 - 2019
    28 - 11 - 2019
  • Zurich
    24 - 11 - 2019
    28 - 11 - 2019
  • London
    3 - 11 - 2019
    7 - 11 - 2019
  • Madrid
    3 - 11 - 2019
    7 - 11 - 2019
  • Munich
    3 - 11 - 2019
    7 - 11 - 2019
  • Berlin
    3 - 11 - 2019
    7 - 11 - 2019
  • Dubai
    10 - 11 - 2019
    14 - 11 - 2019
  • Paris
    10 - 11 - 2019
    14 - 11 - 2019
  • Hong Kong
    10 - 11 - 2019
    14 - 11 - 2019
  • Kuala Lumpur
    15 - 12 - 2019
    19 - 12 - 2019
  • Rome
    15 - 12 - 2019
    19 - 12 - 2019
  • Barcelona
    15 - 12 - 2019
    19 - 12 - 2019
  • Zurich
    15 - 12 - 2019
    19 - 12 - 2019
  • London
    22 - 12 - 2019
    26 - 12 - 2019
  • Madrid
    22 - 12 - 2019
    26 - 12 - 2019
  • Munich
    22 - 12 - 2019
    26 - 12 - 2019
  • Berlin
    22 - 12 - 2019
    26 - 12 - 2019
  • Istanbul
    1 - 12 - 2019
    5 - 12 - 2019
  • Bali
    1 - 12 - 2019
    5 - 12 - 2019
  • Singapore
    1 - 12 - 2019
    5 - 12 - 2019
  • Dubai
    8 - 12 - 2019
    12 - 12 - 2019
  • Paris
    8 - 12 - 2019
    12 - 12 - 2019
  • Hong Kong
    8 - 12 - 2019
    12 - 12 - 2019

Course Description
This course covers the principles of automatic industrial control and the operation of the feedback loop to include proportional, integral and derivative control modes. Advanced concepts of cascade, ratio, and feedforward control are presented. Methods of controller tuning are presented and practiced. Improved control provides better productivity and efficiencies.
This course presents, step by step, practical, successful tuning methods that utilize closed loop relationships and reaction curve analysis to tune feedback controllers in process industries. These methods can be easily understood and applied immediately to provide improved control of your processes.
Also this course explains the operation and application of advanced regulatory control methods: ratio, cascade, adaptive feedforward, override and deadtime control. Strategies are covered as well as mean to study process dynamics needed for implementation.
You will learn how to tune advanced control systems to improve control of various types of processes. This will lead to more efficient process operation.
Course Objective
Participant will be able to:
  • Explain the fundamentals of controller gain or proportional band, integral and derivative actions and the application of each
  • Explain the operation of the components in a closed loop control system including static and dynamic functions
  • Identify the requirements for open loop and closed loop stability
  • Use three methods to tune a control system for stated quality control
  • Understand the functions of cascade control loops and the advantage of cascade control over single element feedback control
  • Tune a cascade control loop for optimum control
  • Understand the principles and design features of feedforward control
  • Tune a feedforward control system for optimum control
  • Identify the advantages of feedforward control over feedback control
  • Understand the operation and function of ratio control systems
  • Tune ratio control systems
  • Tune a controller by trial and error
  • Improve on the trial and error method by using analytical methods
  • Apply the ultimate sensitivity tuning method to properly tune feedback controllers
  • Determine tuning constants by using procedures to improve as found settings
  • Run response curves on a process
  • Measure gain, dead time and process lag of a process
  • Determine what controller gain or proportional band, integral, and derivative actions are best to control this process
  • Understand the difference between set point change and load change
  • Identify when tuning changes may be needed for improved control and state reasons for this
  • Recognize when advanced controls are beneficial
  • Explain feedforward control and list the benefits
  • Run plant tests to determine feedforward relationships
  • Calculate the feedforward constants
  • Explain what adaptive or scheduled gain is and its benefits
  • Calculate adaptive gains for non-linear processes
  • Explain the function and operation of dead time compensators
  • Tune dead time compensators
  • Use different methods to improve control of processes with dead time
  • Identify when process changes may be needed for improved control
Course Outline
  • Control Modes: Proportional, Integral and Derivative
  • Dynamic and Steady State Considerations: Gain, Dead Time and Time Constant
  • Tuning Control Systems: Closed Loop Tuning Using Ziegler Nichols Method, Evaluation and Control Criteria
  • Cascade Control: Primary Loop, Secondary Loop, Design and Tuning Criteria
  • Ratio Control: Applications and Implementation
  • Feedforward Control: Criteria, Applications, Tuning, Implementation, Material and Energy Balances
  • Safety Concerns and Procedures when Operating Control Systems
  • Relationship of Controller and Process: Four components in a closed loop system, Interaction of changes of each component, and Benefits of Good Control
  • Rules for Improved Trial and Error Tuning
  • Analysis of Closed Loop System: Tuning Using Oscillation Techniques
  • Analysis of Open Loop System: Tuning Using a Response Curve Generated by a Step Change, Tuning Using a Response Curve Produced by a Load Change, and Working with Unusual Response Curves
  • Process Characteristics and Related Tuning Requirements
  • Understanding Changes that may be Required in the Process and Suggest Alternative Methods
  • Relationship of Controller and Process: Various Parts of Processes and Interaction of these Parts
  • Description and Benefits of Feedforward Controllers: Tests Required to Obtain Feedforward Constants, Calculation of the Feedforward Constants
  • Description and Benefits of Adaptive or Scheduled Gain: Methods to Tune Controllers with Adaptive Gain. Use of Adaptive Gain to Provide Control of Non-linear Processes. Using Adaptive Gain to Provide Special Effects. Limits, Step Changes, Transmitter Failure Protection, Surge Control, etc.
  • Analysis of Processes with Excessive Dead Time: Dead Time Compensatory. Tuning Dead Time Processes with PID only. Small Changes to a Process to Provide Improved Control
  • Application of Error Squared Controllers for Level Control.
  • Understanding Changes that may be Required in the Process

Courses Search

Recent Posts

Connect with us

IFRS Preparation. (5 Days)Available in London - Dubai - Istanbul - Kuala Lumpur

Join our Civil and Construction Engineering Training Courses , Electrical and Power Engineering Training Courses and Facilities Management Training

Technical Training Courses

Newsletter