INCA PID Tuner differs from other controller optimization software through:

• Optimization of PID control loops on the basis of engineering specifications
• Controller setting for optimum compensation of disturbances
• Controller setting for optimum command behavior with predefined setpoint changes

Data acquisition

Collection of process data by means of an online OPC connection to the SIMATIC PCS 7 operator system or from offline files. Many test signals are available for initiating the process, including:

• Setpoint step-change
• Manipulated variable step-change
• Ramps
• Pseudo-disturbance binary signals

Data preprocessing

The user can select and filter data to refine the results of the process identification.

System identification

A dynamic process model is defined on the basis of the collected process data. Various model structures can be used: with/without dead time and different system arrangements. Users have the option of influencing the system identification on the basis of their knowledge about the process. They can save and compare the resulting process models.

Controller design

On the basis of the chosen process model, controller parameters are determined for a certain specification. Consequently, the controller can be designed for optimum command behavior, optimum noise suppression or a combination of both.

Simulation of the designed controller

An evaluation of the control loop behavior is possible by simulation within INCA PID Tuner or online via the existing OPC connection. The simulation results obtained with different controller settings can be saved and compared.

Good settings for primary control loops are a prerequisite for subsequent plant optimization, for example, using INCA MPC.