Abstract: A rapid process model identification technique identifies, in a relatively short period of time, the dynamic relationship between a process input and a process output by developing an estimate of an integrating gain and a process deadtime from the initial response of the process output to a change in the process input. The integrating gain and deadtime values are then used to generate a complete process model for any of many different types of processes. These process models can be used very quickly to perform process simulation or can be used for control purposes, so as to be able to bring a process control system that uses or relies on process models on line much more quickly than was possible in the past. Moreover, this rapid modeling technique can be used to develop simulation models before the controller has completed responding to even a single process upset.

Abstract: A rapid process model identification technique identifies, in a relatively short period of time, the dynamic relationship between a process input and a process output by developing an estimate of an integrating gain and a process deadtime from the initial response of the process output to a change in the process input. The integrating gain and deadtime values are then used to generate a complete process model for any of many different types of processes. These process models can be used very quickly to perform process simulation or can be used for control purposes, so as to be able to bring a process control system that uses or relies on process models on line much more quickly than was possible in the past. Moreover, this rapid modeling technique can be used to develop simulation models for a process loop before the controller that controls the process loop has completed responding to even a single process upset or set point change, making the technique very useful in performing control of slow processes.