Advanced Process Control (APC) for process optimization

Advanced Process Control (APC)

The optimization of industrial production processes is the focus of our use of Advanced Process Control (APC). Deep understanding of the process technology is a necessary precondition and the foundation for optimal control and digital mapping. Existing plants are significantly improved with APC, and the interventions are minimally invasive. We consider APC as a “collective term” for innovative control technologies that include predictive control methods and are closely linked to many digitalization tools.

We provide expertise on a wide range of advanced process control technologies:

Model Predictive Control (MPC), Embedded MPC (model predictive control based on PLC – highly available!)
Neural Network Process Identification and Control
Fuzzy Control
Controllers that include Artificial Intelligence
Non-linear control
PID loop performance monitoring (automatic detection of actuator or sensor malfunction and sensors, automatic detection and correction of poorly set PID control loops, monitoring of critical PID control loops, …)
PID loop performance optimization (maximisation of control performance, minimization of oscillations, minimization of deviations between setpoint and actual values, actuator-friendly control operation)

Sebastian Sturm

I am looking forward to answering your questions

Sebastian Sturm is your expert concerning APC solutions

Key Takeaways

Advanced Process Control (APC) optimizes industrial processes using model-based and predictive control methods.
APC improves process stability, efficiency and system performance without major changes to existing control systems.
Technologies such as Model Predictive Control (MPC), neural networks and fuzzy control make it possible to control complex processes.
APC reduces energy consumption, emissions and production fluctuations.
Companies can increase production capacity and reduce operating costs with APC.

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Our services

Process and system analysis for control concept development
Design of experiments for model development and parameter identification
Planning / design of the superordinate control concepts
- Modelling of the plant using well-founded process engineering know-how
- Design of the controller, simulation and validation of the control concept
- Application of our products with integrated modules and toolboxes ( EPOC(R), ^BCS®)
- Developing and visualising the effects, levers and decision bases
- Accompanying the decision for implementation
Integration in existing plants
- Optimizing the controller parameters, customizing and adapting to the facility
- Increasing the performance (according to the concept and the simulation)
Commissioning and optimization
- Implementation of hardware and software – according to the decisions made
- Optional: either renew the existing control system or integrate a higher-level control system with signal exchange and update of the control technology
Increase performance through “controller fine-tuning” in close coordination with the operators
Knowledge transfer with the operators, operator training for new plant systems
Support of the implemented system solution within the framework of a service contract