The PIDfeel program also depicts the PID operation in the presence of disturbance. The user can define the level of a random disturbance applied at the process input. As stated before, the PID settings are defined manually. This way to adjust the PID may lead to nearly optimal operation conditions. Compared to the known methods of optimization, this way to treat with the PID is not exactly optimal. However, changing the settings in interactive mode you can see the effects immediately and perhaps reach a sub-optimal and somewhat more robust solution. In particular, it can be seen when and why the system may loose stability or respond satisfactory to big disturbanes.
The program supports 10 different P, PI, PD and PID versions. It can also be used to select a PID which fits better to a particular controlled process.
The program supports 10 different P, PI, PD and PID versions. It can also be used to select a PID which fits better to a particular controlled process.
PIDfeel deals with the settings of a proportional-integral-derivative controller. Highly recommended for control techers, studens and plant engineers.
Manage the controller parameters manually, to feel how the closed loop control circuit responds to the changes. . The program was developed by Stanislaw Raczynski in 2014. It can help the plant engineers to manage PID controllers, as well as to tech feedback control. Our point is that before using sophisticated algorithms and software for PID optimization, the user shoul understand, feel and sometimes predict the behavior of closed loop control with PID controllers. This may help to avoid possible errors in the controller management.
The following versions of PID are supported:
P - proportional controller
PI - proportional-integral
PD - proportional-derivative
I - integral
PID - proportional-integral-derivative classic
PID - interactive
PID - with set point weighting
PID - anti-windup
PID - squared error
PID - limited (smoothed) derivative
All the above controllers are simulated in continous or sampled data mode, useful for digital control design.
Manage the controller parameters manually, to feel how the closed loop control circuit responds to the changes. . The program was developed by Stanislaw Raczynski in 2014. It can help the plant engineers to manage PID controllers, as well as to tech feedback control. Our point is that before using sophisticated algorithms and software for PID optimization, the user shoul understand, feel and sometimes predict the behavior of closed loop control with PID controllers. This may help to avoid possible errors in the controller management.
The following versions of PID are supported:
P - proportional controller
PI - proportional-integral
PD - proportional-derivative
I - integral
PID - proportional-integral-derivative classic
PID - interactive
PID - with set point weighting
PID - anti-windup
PID - squared error
PID - limited (smoothed) derivative
All the above controllers are simulated in continous or sampled data mode, useful for digital control design.
The controlled process may be of following type:
First order inertia
First order inertia with delay
Second order, two time-constants inertia
Third order, three time-constants inertia
Oscillating, with given frequency and damping
The PIDfeel program provides interactive simulation of the closed loop circuit. The process output is displayed, and the user can change the controller parameters, viewing the effects of the changes. Also a multiple plot is generated, showing all circuit variables at the same plot. A variable parameter mode is available, where a selected parameter changes within given interval, and the resulting multiple plot is displayed.
First order inertia
First order inertia with delay
Second order, two time-constants inertia
Third order, three time-constants inertia
Oscillating, with given frequency and damping
The PIDfeel program provides interactive simulation of the closed loop circuit. The process output is displayed, and the user can change the controller parameters, viewing the effects of the changes. Also a multiple plot is generated, showing all circuit variables at the same plot. A variable parameter mode is available, where a selected parameter changes within given interval, and the resulting multiple plot is displayed.
A screen generated in variable parameter mode (changing controller gain)
NEW in PIDFeel: sampled data control with digital PID