Meaning
Predictive logic adjusts a process variable before a change in the environment can affect the output. In feedforward control, sensors measure incoming disturbances and apply a correction to the system immediately. This approach contrasts with methods that wait for an error to appear before acting.
It is commonly used in temperature and flow management.
Disturbance Rejection
External factors like changes in ambient temperature or raw material quality are identified at the input stage. The controller calculates the necessary compensation and moves the actuator to nullify the expected impact. This proactive stance keeps the process closer to the setpoint than reactive systems.
Sensor Input
Precise measurement of the upstream conditions is required for the mathematical model to function. Any error in the feedforward sensor will lead to an incorrect adjustment that the system might not catch for some time. High quality instrumentation is therefore a prerequisite for this automation strategy.
Predictive Action
Implementation of this logic requires a deep understanding of the physical relationships within the equipment. Engineers must know exactly how a ten percent increase in feed rate will change the final product concentration. When the model is accurate, the system can maintain stability even during large swings in supply.
This methodology prevents the oscillations often found in feedback only loops.