Key Benefits
nv-ADCOP helps improve controller performance by providing the control function blocks for complex applications, identifying the process parameters, and optimizing the controlled parameters.
nv-ADCOP Library for Advanced Applications
Provides advanced control function blocks that include MD-PID, (Model-driven PID), executes much-improved control performance than conventional control and the other useful function blocks as well as sample programs for typical applications.
System Identification of the Target Process
Identifies the parameters of the specified processes by sampling a set of manipulated values, disturbance values, and process values.
Parameter Optimisation for the Target Controller
Optimises the parameters of the specified controller for the identified process. This is available for optimizing MD-PID as well as two-degree-of-freedom PID and conventional PI-D, eliminating manual tuning.
Applied PID algorithm in nv-ADCOP Library
PI-D Control
Is amongst the most common PID algorithm which can be implemented in worldwide DCS. Compared with conventional PID, the merits of PI-D are to prevent differential shocks to the target process when the SV (set point value) is changed.
Two degree of freedom PID Control
Is a type of two-degree-of-freedom PID algorithm developed by TOSHIBA. Compared with a general PI-D algorithm, the merit of TDOF-PID is in its ability to optimize control performance for both set point change and process disturbance.
Model-Driven PID Control
Is a type of IMC (Internal Model Control) algorithm developed by TOSHIBA. Compared with PI-D, the merits of MD-PID are to provide optimal control for
- Long dead time process.
- Disturbance as well as set point changes.
- Various process dynamics.
Feed Forward Control
Is a type of disturbance suppression algorithm. DV (Disturbance Value) affects PV (Process value). The disturbance components of PV can be compensated by this FF control.
