METHOD FOR COMPUTER-AIDED CONTROL OF AN AUTOMATION SYSTEM

• US 20170123387A1
• Filed: 10/28/2016
• Published: 05/04/2017
• Est. Priority Date: 11/03/2015
• Status: Active Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: BOSCHERT, STEFAN, MIRABELLA, LUCIA, OBST, BIRGIT, WEVER, UTZ
• Granted Patent: US 10,571,872 B2
• Time in Patent Office: Days
• CPC Class Codes: G05B 11/32 with inputs from more than one sensing element; with outputs to more than one correcting element
• CPC Class Codes: G05B 13/04 involving the use of models or simulators
• CPC Class Codes: G05B 13/041 in which a variable is automatically adjusted to optimise the performance
• CPC Class Codes: G05B 13/042 in which a parameter or coefficient is automatically adjusted to optimise the performance
• CPC Class Codes: G05B 13/047 the criterion being a time optimal performance criterion
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: G05B 2219/35499 Model of process, machine and parameters

Abstract

A method for computer-aided control of an automation system is provided by use of a digital simulation model which simulates the automation system and which is specified by a number parameters comprising a number of configuration parameters) describing the configuration of the automation system and a number of state parameters describing the operational state of the automation system. Simulated operation runs of the automation system based on the simulation model can be performed with the aid of a computer, where a simulation run predicts a number of performance parameters of the automation system.

Claims

1. A method for computer-aided control of an automation system, wherein the automation system is controlled in real operation by use of a digital simulation model which simulates the automation system and which is specified by a number of configuration parameters describing the configuration of the automation system and a number of state parameters describing the operational state of the automation system, where simulated operation runs of the automation system based on the simulation model can be performed with the aid of a computer, where a simulation run predicts a number of performance parameters of the automation system,

wherein the following steps are performed at each processing event of a plurality of successive predetermined processing events during the real operation of the automation system:

a) sensing the number of state parameters of the automation system in real operation and performing a simulated operation run based on the simulation model specified by the number of configuration parameters and the number of sensed state parameters;

b) if one or more predetermined performance parameters out of the number of performance parameters predicted by the simulated operation run in step a) do not fulfil a performance criterion with respect to a minimum performance of the automation system, adapting the simulation model by changing one or more predetermined configuration parameters out of the number of configuration parameters such that the one or more predetermined performance parameters predicted by a simulated operation run based on the adapted simulation model fulfil the performance criterion;

c) adjusting the one or more predetermined configuration parameters of the automation system in real operation to the changed predetermined configuration parameters determined in step b).

2. The method according to claim 1, wherein the one or more changed predetermined configuration parameters are determined in step b) by an optimization of the simulation model, the optimization having the optimization goal of finding the optimum of the one or more predetermined performance parameters with respect to the performance criterion in dependence on the one or more predetermined configuration parameters as variables.

3. The method according to claim 2, wherein the optimization of the simulation model comprises a deterministic optimization where at least one predetermined configuration parameter has a deterministic value as variable.

4. The method according to claim 2, wherein the optimization of the simulation model comprises a probabilistic optimization where at least one predetermined configuration parameter is described by a mean value as variable and a fixed standard deviation of the mean value.

5. The method according to claim 1, wherein the one or more predetermined performance parameters comprise the production time for a number of products produced by the automation system where a necessary condition for the non-fulfilment of the performance criterion is that the production time is higher than a predetermined threshold or results in a dead lock where no more products can be produced.

6. The method according to claim 1, wherein the one or more predetermined performance parameters comprise the quality for a number of products produced by the automation system where a necessary condition for the non-fulfilment of the performance criterion is that the quality for the number of products is lower than a predetermined threshold.

7. The method according to claim 1, wherein the one or more predetermined performance parameters comprise the electric energy consumption of the automation system where a necessary condition for the non-fulfilment of the performance criterion is that the electric energy consumption is higher than a predetermined threshold.

8. The method according to claim 1, wherein the automation system comprises a number of machines, where the one or more predetermined configuration parameters comprise for one or more of the number of machines the processing time of at least one processing step performed by the respective machine and/or the position of the respective machine within the automation system.

9. The method according to claim 1, wherein the number of state parameters of the automation system in real operation is sensed in step a) by one or more cameras.

10. The method according to claim 1, wherein, before the start the real operation of the automation system, an optimization of the simulation model is performed, the optimization having the optimization goal of finding the optimum of the one or more predetermined performance parameters with respect to the performance criterion in dependence on the one or more predetermined configuration parameters as variables.

13. A computer program product with program code, which is stored on a machine-readable carrier, for carrying out a method according to claim 1 when the program code is executed on a computer.

14. A computer program with program code for carrying out a method according to claim 1 when the program code is executed on a computer.

11. An apparatus for computer-aided control of an automation system, wherein the apparatus is adapted to control the automation system in real operation by use of a digital simulation model which simulates the automation system and which is specified by a number of configuration parameters describing the configuration of the automation system and a number of state parameters describing the operational state of the automation system, where simulated operation runs of the automation system (100) based on the simulation model can be performed with the aid of a computer, where a simulation run predicts a number of performance parameters of the automation system,

wherein the apparatus comprises means to perform the following steps at each processing event of a plurality of successive predetermined processing events during the real operation of the automation system:

a) sensing the number of state parameters of the automation system in real operation and performing a simulated operation run based on the simulation modelspecified by the number of configuration parameters and the number of sensed state parameters;

b) if one or more predetermined performance parameters out of the number of performance parameters predicted by the simulated operation run in step a) do not fulfil a performance criterion with respect to a minimum performance of the automation system, adapting the simulation model by changing one or more predetermined configuration parameters out of the number of configuration parameters such that the one or more predetermined performance parameters predicted by a simulated operation run based on the adapted simulation model fulfil the performance criterion;

c) adjusting the one or more predetermined configuration parameters of the automation system in real operation to the changed predetermined configuration parameters determined in step b).

12. The apparatus according to claim 11, wherein the apparatus is configured to perform a method.