Control Performance Audit
Don't be satisfied by just make it better, go for the best available
The Achievable Best Control Performance
One of the primary metrics of control performance is the variability. This value measures the statistical distance between the controlled and expected value. Under-performance, representing by a single number, can be measured.
The audit focuses on minimising the variability of a process cell rather than tuning individual controls for the fastest response. The dynamical response of a process cell is measured and the control behaviour is designed to make the entire process best performing. This approach moves the focus from single loop tuning to the overall well-performance of interactive processes like distillation columns, steam boilers or fermentation reactors.
Get the most out of your process control system
Our experience shows that complex, interactive processes often suffer under-performing by their controls under-performing . The most common symptom is a periodic oscillation on the controlled values. There is a great business potential in solving control issues. Oscillating systems are forced to operate far from optimum, while consuming excess energy.
Integration between process and control
Have a well-controlled process with minimum variability.
Utilise existing devices
No need to change the existing field instrumentation.
Best control performance
Minimised variability opens the possibility of revealing new optimisation potentials.
Remote Data Analysis
Connect with us, send data and simply get the result: we investigate your control problem remotely and deliver a free report about the potential control improvements.
GAP Analysis. The metrics show how far the current system is from desired, as well as the final achievable performance with existing process and control devices.
Root Cause Analysis. Each root cause that acts as a barrier against the best performance is localised and explored.
Corrective Actions. The necessary and sufficient action list provides adequate engineering activities to bring technical and financial benefits.
Designed Control Response
Closed control loop dynamics are redesigned for an entire process unit by adapting the control system parameters to achieve minimum overall variability. This design process makes it possible to justify the level of disturbance tolerance.
Potential business benefits delivered and assessed. Some benefit categories are industry and process specific. During the initial consultation process only those the categories which deliver tangible benefits are assessed.
The operators can turn their focus to the process rather than to its control.
Decreased variability results in slower asset deterioration.
Less stress for process equipment increases its lifetime.
Significantly reduce alarms.
Typical data requirement
Data analysis usually requires the following data inputs. If you send us the design documentation we can prepare the data export sample file for you.
Custom non-disclosure agreement available on request.
Time series data
Process control system configuration
Piping and Instrumentation Diagram