On-line dynamic advisor from MPC models
View Patent ↗A method is disclosed for removing the dynamics of the PID controllers from a Model Predictive Controller that was developed using identification testing of a process. This then allows the creation of a very fast final control element based on-line operator advisor that operates in conjunction with the process so that it has access to real time data and provides an ongoing prediction of the future state of the process as well as the capability to investigate alternate scenarios of control possibilities.
1. A method for creating an on-line operator advisor for use in process simulation and for training simulators for a process having a plurality of independently controllable, manipulated variables and at least one controlled variable dependent upon said independently controllable, manipulated variables; said process operating under a defined regulatory control scheme of proportional-integral-derivative (PID) controllers; comprising the steps of:
gathering data about said process by separately introducing a test disturbance in each of said manipulated variables and measuring the effect of the disturbances on said controlled variable;
using said effects of the disturbances on said controlled variable to generate a first linearized dynamic model relating said at least one controlled variable to said independently controllable, manipulated variables;
interchanging selected final control element position controlled variables with their corresponding selected independently controllable, manipulated proportional-integral-derivative (PID) controller set point variables in said first linearized dynamic model using matrix row elimination mathematics to generate a second linearized dynamic model that has a new set of independently controllable, manipulated variables, said second linearized dynamic model having the dynamics of said selected independently controllable, manipulated proportional-integral-derivative (PID) controller set point variables removed from said second linearized dynamic model and replaced with final control element positions; and
externally emulating the regulatory control scheme via mathematical emulators to emulate proportional-integral-derivative (PID) controllers in manual, cascade, or automatic modes to obtain a completed on-line operator advisor of said process.
2. The method of claim 1 wherein said first linearized dynamic model is a step response model.
3. The method of claim 1 wherein said first linearized dynamic model is a finite impulse model.
4. The method of claim 1 wherein said process has at any time a known state of values for the dependent and independent variables, the configuration and tuning of the regulatory control scheme, and values for the open loon final control loop prediction vectors; further comprising the steps of:
a. accessing real time data from said process to initialize said completed on-line operator advisor with the state of the dependent and independent variables;
b. initializing the configuration and tuning of the regulatory control scheme; and
c. initializing with the state of the open loop final control element prediction vectors.
5. The method of claim 4 further comprising the step of mathematically solving said completed on-line operator advisor to predict future responses of said at least one controlled variable.
6. The method of claim 5 further comprising the steps of:
a. manually halting said mathematically solving of said completed on-line operator advisor;
b. re-accessing real time data from said process to initialize said completed model with the state of the dependent and independent variables;
c. re-initializing the configuration and tuning of the regulatory control system;
d. re-initializing with the state of the open loop final control element prediction vectors;
e. re-solving the completed on-line operator advisor to predict the future responses of said at least one controlled variable.
7. An on-line operator advisor created by the method of claim 1 .
8. An on-line operator advisor created by the method of claim 4 .
9. An on-line operator advisor created by the method of claim 5 .
10. An on-line operator advisor created by the method of claim 6 .