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dynamic processes such as pressure and flow control. The integrated self-optimisa-
tion adjusts the control parameters and ensures rapid optimisation of the control
process.
Options available for the UREG200 include RS-232, RS-485 and an additional 0/4-
20mA analogue output for retransmission. These interfaces enable communication
with a process control system or for displaying the values on a separate display, as
well as for data logging on an external device.
The controller can be programmed 1. manually using the front keys, or 2. using the
UREG-Konfig software with the PC and transmitted via RS232 or RS485 interface.
What is Fuzzy Control?
The PID control principle is based on a mathematical calculation between setpoint
and actual value. Conventional PID controllers react to the changes of the process
value with the delay of the calculation depending on the dynamics of the actual
value.
The fuzzy controller enables the process to be controlled dynamically; by observing
the actual values depending on the control, the fuzzy controller learns to act faster
and more efficiently in similar constellations. The fuzzy logic is a linguistic controller
and not numerical like the PID controller. Through the "experiences" of the fuzzy
control, the control behaviour of the PID is constantly optimised.
PID+FUZZY Block diagram
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