Product replacement and system problems always result in lost production until the system can be stabilized at the new operating point.
Due to the fuzzy controller installed on the feeder, the solution can complete rapid product replacement and respond quickly to problems.
principle
Some processes cannot enter specific conditions, which makes it difficult to imitate simulations with traditional controllers. This means that the decisions that affect the process are often made by experienced system administrators - based on a full picture of the state of the system, which can usually only be expressed verbally.
Fuzzy logic is an advanced engineering tool that integrates expert "fuzzy" decisions as quantifiable effects into traditional controllers.
Traditional controllers (such as PI controllers) do a good job of stabilizing feeder operating points. Due to the feeder path dynamics, they are usually set very slowly. However, this means that PI controllers cannot respond quickly to product changes or issues that arise. This aspect is where the fuzzy controller can play its role, and it can adjust the situation through intervention.
solution
SIGLAS® - Fuzzy forms part of the next-generation controller strategy (Advanced Process Control APC).
Existing conventional controllers, such as discrete controllers, are also integrated into the solution.
Using the fuzzy algorithm in an independent automation station or the fuzzy algorithm integrated into the existing Siemens process control system, the temperature values ​​of the individual areas of the feeder are processed. The result can affect the control variables of the conventional controller and for this purpose requires a setpoint input from the outside.
Product-specific setpoints are saved to the database.
This tailor-made solution consists of the following parts:
automated system
configuration
Installation, including equipment
This system can also be installed while the equipment is running.
advantage
SIGLAS® - Fuzzy improves temperature control in each individual feeder area.
The system can adjust more quickly on issues and product changes. No manual intervention of the controller is required during the transition.
Problem response time can be reduced by up to 50%. This way the system takes less time to achieve stable production.
Benefits:
Faster production of qualified glass after product change and disturbance
Shorter stabilization time
Restore faster