Process control method
The invention relates to method for controlling a process, the method comprising an adaptive control model and at least one process input and at least one process output, the control model comprising predicting the relevant targets in the process; and selecting the relevant drivers for the process based on the target prediction, where the method preferably comprises adapting a number of parameters based on one or more inputs, and using the adapted parameters as an input for the target prediction.
1. A control system for controlling a process of a production apparatus, the process having at least one process input, at least one process output, a performance goal, and measures, said performance goal being the desired performance value of said process, the control system comprising a target predicting module and a driver selection module, wherein the control system employs an online, self-tuning, adaptive control model for controlling said process of said production apparatus, said adaptive control model including:
via said target predicting module, predicting relevant targets in the process; and
via said driver selection module, selecting relevant drivers for the process based on a target prediction from said target predicting module;
wherein said relevant drivers comprise adjustable inputs that affect output values of a relevant target;
wherein the control system is configured to, while the production apparatus is in operation, non-linearly adapt a number of control model parameters based on one or more inputs to form a number of adapted control model parameters, and to input the number of adapted control model parameters to said target prediction module for said target prediction;
wherein the control system is configured to include manipulated input variables, dependent output variables, non-manipulated input variables, and said performance goal and measures as input;
wherein the control system is configured to, while the production apparatus is in operation, provide input to said production apparatus based on said number of adapted control model parameters, said predicted target, tuned targets for guiding the process towards the overall performance goal, tuned drivers, and selected relevant drivers; and
wherein the control system is configured to use said manipulated input variables and said dependent output variables for the non-linear adaptation of said number of control model parameters and for said target prediction together with an output from the non-linear adaptation of said number of control model parameters.
2. A control system according to claim 1 , wherein said adaptive control model uses the non-manipulated input variables and the performance goal and measures for target tuning.
3. A control system according to claim 2 , wherein said control system is configured for:
measuring an offline value; and
inputting the offline value measurement for the target tuning.
4. A control system according to claim 2 , wherein said adaptive control model uses the target prediction and the target tuning for driver tuning.
5. A control system according to claim 1 , wherein said control system further comprises a preprocessing unit configured to prepare input signals prior to and for the non-linear adaptation of control system parameters.
6. A production apparatus comprising a control system according to claim 1 .
7. A production apparatus according to claim 6 , further comprising:
measurement devices configured and arranged to measure manipulated data in the process and to measure non-manipulated data related to or used in the process;
wherein the measurement devices are in communication with the control system to feed the manipulated data and non-manipulated data to the control system.