Rockwell Automation Technologies Incorporated

Timothy L Stanford

Scotty Bromfield

David Christopher Mazur

Rob Alan Entzminger

Corey A Peterson

Mithun Mohan Nagabhairava

Steven Clohessy

Andries Ernst Kruger

Pieter Wolmarans

Chidiebere U Egbuna

Alexander J Miller

Jonathan Armstrong

Kevin Anthony Ellis

Mayank Maheshwari

An industrial controller can perform multi-dimensional optimization locally using the controller's native hardware and processing. An optimization algorithm is encoded on the industrial controller in a language understandable and executable by the controller (e.g., IEC61131-3). The optimization algorithm is adapted for the scan-based processing performed by industrial controllers rather than sequential processing, thereby allowing the optimization algorithm to be executed by the industrial controller as part of the controller's control program execution. A control program development system allows a user to add and configure the optimization algorithm as an instruction within the controller's control program. The instruction's configurable parameters allow the user to submit constraints and cost functions for the algorithm. During runtime, the controller executes this optimization instruction in accordance with the optimization parameters submitted by the user during development, using values of specified data tags as inputs and outputs for the algorithm.

Programmable automation controller based optimization

Techniques to facilitate adaptive optimization and control of flotation cell processing are disclosed herein. In at least one implementation, a computing system receives a plurality of flotation cell process variables associated with a flotation cell process. The flotation cell process variables are fed into a machine learning model associated with the flotation cell process to determine improved settings for the flotation cell process. The improved settings for the flotation cell process are provided to an industrial controller that controls at least one aspect of the flotation cell process to improve the flotation cell process.

Adaptive control of industrial automation for mining flotation cells

A method for operating a plurality of geographically distributed compressors, wherein the outputs of the geographically distributed compressors are coupled to a compressed air distribution system within an industrial automation environment, is provided. The method includes receiving performance data from the plurality of compressors, and receiving current environment data from a plurality of sensors within the industrial automation environment, including at least some sensors within the compressed air distribution system. The method also includes assigning a guide vane weight to each compressor based at least in part on a capacity of each compressor, identifying a target system air pressure, and processing the performance data, current environment data, guide vane weights, and target system air pressure to determine control settings for each of the plurality of compressors.

Industrial control system for distributed compressors

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Mequon, WI, United States of America

Timothy L Stanford