ADVANCE PROCESS CONTROL

COURSE DESCRIPTION

PID Controller has been applied in major process industries worldwide since 1940. This controller is still the main controller in the process industries, although the hardware has changed from the stand analog/digital alone controller to distributed control systems (DCS) or programmable logic controller (PLC). The success of the PID controller relies on its simple algorithm but produces high control performances even for different application areas in industries. One main interesting feature of the PID controller is its ability to receive enhancement without any major changes in its basic algorithm form. Therefore the PID controller can be enhanced without replacing the controller itself.

To achieve enhancements, it requires additional process insight, which is developed through increased engineering analysis and effort. The additional effort can be richly rewarded because the enhancement can substantially improve control performance, reducing the integral errors and maximum deviation. The success of the enhancement depends on the quality of the engineering analysis: the accuracy of process insight and the application of the design principles.

In this training program, it will be discussed and covered the enhancement of the PID controller which is known as Advanced Process Control. This training is not similar to Process Control that covers PID algorithm and the well known tuning methods: Trial error, Ziegler-Nicholls and Cohen-Coon. However, Advanced Process Control covers material where that well known tuning methods fail to satisfy the required high performance for complex process control.

COURSE OBJECTIVE

COURSE OUTLINE

  1. Overview to process control
  2. Overview to PID
  3. Overview to PID Tuning
  4. Performance of control system
  5. Ratio control
  6. Cascade control
  7. Feedforward control
  8. Advanced Types of PID Controller
  9. Performance of Control Systems
  10. Advanced PID Tuning
  11. PID Auto-tuning
  12. Optimal PID tuning
  13. PID for Multi Input Multi Output Plant
  14. Selector Control
  15. Control for interacting process loops
  16. Modeling and system identification
  17. Model based control
  18. Practice and cases study
  19. Discussion

Who Should Attend

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