Traditionally, APC relies on model predictive control
and moving horizon estimation strategies that use either a linear or non-linear mathematical model of the industrial plant and smart algorithms to estimate unmeasured states and control process variables. APC helps industries attain operational and financial targets by increasing throughput and reducing energy use.
Typically, process industries and energy companies integrate APC in distributed control systems such as ABB Ability™ 800xA
and ABB Ability™ Symphony Plus, which allows industry users to benefit from distributed resource allocation, redundancy, and communication as well as the intrinsic cybersecurity infrastructure of these modern DCSs.
As APC technology continues to evolve with new components and features, ABB scientists and engineers are exploring the potential of artificial intelligence (AI) with the use of reinforcement learning neural networks as well as edge and cloud technologies for digital analytics and optimization for operational services in the process and power industries.
ABB Ability™ Platform is the digitally enabling technology that can reside at the device, edge and cloud levels. Currently, it allows the implementation of APC solutions.