US 11,740,598 B2
Apparatus and methods to build a reliable deep learning controller by imposing model constraints
Michael R. Keenan, Houston, TX (US); and Qingsheng Quinn Zheng, Sugar Land, TX (US)
Assigned to ASPENTECH CORPORATION, Bedford, MA (US)
Filed by AspenTech Corporation, Bedford, MA (US)
Filed on Apr. 30, 2021, as Appl. No. 17/246,245.
Prior Publication US 2022/0365497 A1, Nov. 17, 2022
Int. Cl. G05B 13/04 (2006.01); G05B 13/02 (2006.01); G06N 3/044 (2023.01)
CPC G05B 13/048 (2013.01) [G05B 13/027 (2013.01); G06N 3/044 (2023.01)] 27 Claims
OG exemplary drawing
 
1. A method of creating a controller for an industrial process, the method comprising:
accessing a model of an industrial process, the model having been created using operation data of the industrial process;
receiving at least one constraint;
constructing an objective function based on the received at least one constraint and the accessed model of the industrial process, said constructing being performed by a computer processor;
solving, by the computer processor, the objective function at an operating point of the industrial process, results of said solving defining a modified model of the industrial process;
based on the modified model, generating a controller that controls the industrial process;
implementing, using the generated controller, a first move plan for the industrial process from the operating point to an updated operating point;
determining if the updated operating point is outside a threshold;
resolving, based on the determination, the objective function at the updated operating point to create an updated modified model of the industrial process; and
based on the updated modified model updating the controller.