Advanced Process Control – a Chance to Adapt to Economic Changes

Related Vendors

TURCK GmbH

EDL Anlagenbau Gesellschaft mbH

ProMinent GmbH

Aspen Tech Europe SA/NV

Responding to changes

Squeezing as much value as possible from the operation where costs and risks are high is essential to meet changing economic needs. Therefore, improving performance requires flexible, innovative and automated APC software with intuitive functionality to keep pace with a highly competitive global landscape.

Aspen DMC3 addresses these issues by providing the ability to ‘tune’ robustness to accommodate undesirable and common scenarios. The software incorporates business changing innovations, such as the companies Adaptive Process Control, which is patented, automatic tuning and step-testing technology with advanced model identification and analysis capabilities.

It converts APC maintenance from a project to a continuous background activity and enables less disruptive plant testing. Over time, it will keep controllers online and improve operational benefits. The software brings improvements that drive controller up time, including reducing engineering practitioner workload and complexity.

In addition users are provided with an intuitive interface that rationalises plant data (i.e. pressure flow, temperature, etc.) into clear visual content about the plant’s performance.

Latest Smart Tune functionality allows the user to set up and specify more frequently the operational objectives directly in the controller (e.g. the trade-off to maximise light diesel versus maximising gasoline etc.) and easily eliminate the need for complicated and iterative optimiser tuning.

Crucially, this innovation enables engineers to quickly adapt the controller strategy to a company’s changing economic objectives. Now engineers can adjust controllers to meet new economic conditions with minimal effort as Smart Tune provides the benefit of reducing complicated tuning.

This solution also enables less experienced engineers to build and maintain controllers. As models degrade or are updated, the intelligent software preserves the optimisation strategy with no need to revisit controller tuning and gives the operator greater visibility of information through an intuitive on-line interface to better understand controller behaviour.

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