Control functions currently supported in the Experion PKS Control Builder libraries are listed in the Specifications section. Standard available function blocks include Process Variable, Regulatory Control, Fieldbus (Device and Control blocks), Motor Control, Discrete Logic and Sequential Control, as well as general-purpose blocks like Flags, Numerics, Timers and Arrays.
The regulatory control library includes many standard function blocks, such as PID, PID Feed Forward,
Ratio/Bias, etc. Experion PKS R200 introduces the Profit Loop PKS block (PID-PL). Profit Loop
PKS utilizes a Honeywell patented algorithm that represents a single input/single output (SISO) model
predictive controller specifically designed with the operating simplicity and computational efficiency of a
standard PID controller. This allows it to be executed in either the C200 controller or ACE node. Profit
Loop PKS also provides an integrated set of tools (Profit Loop Assistant and Control Builder
Enhancements) that allow easy configuration and model identification.
The Profit Loop function block (PID-PL) is a hybrid of a PID and model based controller; it contains both PID and Profit Loop capabilities to enable the easy replacement and on-line conversion from an existing PID to a PID-PL block. Users can take a well-tuned PID controller and directly translate it into a Profit Loop controller and immediately benefit from improved control delivered by Profit Loop technology. The PID-PL function block uses a simple process model to predict the effect of past, present, and future control moves on the process variable. It can be used in place of PID, Smith Predictors, gap controllers, and optimizers since Profit Loop can anticipate future process behavior. This allows the controller to know exactly how much to move the process to meet the desired control objectives. The Profit Loop solution can be used to control temperatures, pressures, flows, discrete analyzers, tank levels, and it is ideal for control processes with process delay, inverse response, nonlinear effects, and noisy process signals.
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