Tuning Rules for Lag Dominated FOPDT (first-order plus deadtime) model

In summary, for the given transfer function, you can use either the Ziegler-Nichols or Cohen-Coon method to tune it.
  • #1
Will26040
22
3
Homework Statement
What would be a good tuning rule for use of the following FOPDT transfer function with a PI controller? (apart from SIMC, direct synthesis, Cohen and Coon or Ziegler Nichols)
Relevant Equations
## \frac {27e^{-3s}} {30s+1} ##
I am trying to find an alternative tuning rule for use with the transfer function specified. Please could someone help by pointing me in the right direction, thanks.

Process transfer function:

## \frac {27e^{-3s}} {30s+1} ##

Also, am I right in thinking that this process transfer function is lag dominated?
 
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  • #2
Yes, this process transfer function is lag-dominated. Lag-dominant process transfer functions are usually tuned using the Ziegler-Nichols (ZN) or the Cohen-Coon (CC) methods. Both these methods involve adjusting the proportional gain (Kp) and reset time (tau) to achieve an optimal response. The ZN method uses the ultimate gain (Ku) and ultimate period (Pu) of the process as input parameters, while the CC method uses the rise time (tr) and percent overshoot (Mp) as input parameters. You can find more information about these two tuning rules here: https://www.schneider-electric.com/en/faqs/FA234037/.
 

1. What is a Lag Dominated FOPDT model?

A Lag Dominated FOPDT (first-order plus deadtime) model is a mathematical representation of a system that has a first-order response with a significant amount of deadtime. This type of model is commonly used in process control and can be described by a transfer function with a first-order numerator and a deadtime term in the denominator.

2. Why are tuning rules necessary for Lag Dominated FOPDT models?

Tuning rules are necessary for Lag Dominated FOPDT models because they help to determine the optimal values for the controller parameters, such as the proportional, integral, and derivative gains. These parameters affect the system's response and stability, so it is important to tune them correctly for optimal performance.

3. How do tuning rules for Lag Dominated FOPDT models work?

Tuning rules for Lag Dominated FOPDT models typically involve using mathematical equations or graphical methods to determine the controller parameters based on the system's characteristics, such as the time constant and deadtime. These rules aim to achieve a desired response, such as a specific settling time or overshoot, while maintaining stability.

4. What are some common tuning rules for Lag Dominated FOPDT models?

Some common tuning rules for Lag Dominated FOPDT models include the Ziegler-Nichols method, the Cohen-Coon method, and the Chien-Hrones-Reswick method. These methods use different approaches to determine the controller parameters, but they all aim to achieve a stable and optimal response for the system.

5. Are there any limitations to using tuning rules for Lag Dominated FOPDT models?

Yes, there are some limitations to using tuning rules for Lag Dominated FOPDT models. These rules are based on assumptions about the system's behavior and may not work well for highly nonlinear or complex systems. In addition, they may not be suitable for systems with significant disturbances or changes in operating conditions. It is important to carefully consider the system's characteristics and limitations when applying tuning rules.

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