INCA PID Tuner is the easy-to-use PID loop tuner that allows you to tune single PID loops quickly and efficiently.

Tuning is done based on engineering specifications like optimal tracking or disturbance rejection with minimal overshoot or minimum robustness. These specifications are the things that matter for your process stability and efficiency.

Follow a simple workflow from the optimization targets until the final PID values.

In day to day operation PID controllers are:

  • Often in manual mode, or are put in manual during large disturbances
  • Causing process oscillations due to bad tuning or suboptimal control strategies
  • Tuned using rules like Ziegler-Nichols, Lambda and Kappa-Tau. These rules give reasonable results in many cases. For loops that have a direct effect on product quality, energy consumption or overal plant throughput, real optimal tuning is needed. Then you need the INCATools from IPCOS
  • Tuned based on a time consuming trial and error approach. This can result in long startup times for grass root plants
  • Interacting with each other, posing a challenge to the control engineers

Tuning PID controllers based on engineering specifications

  • Tune PID controllers for optimal setpoint tracking (rise time, settling time, energy…) and/or disturbance rejection (settling time, energy,…)
  • Apply constrained tuning. E.g. maximum overshoot, minimal robustness, high frequency gain,….
  • Simple workflow
  • Powerful model identification. Also higher order models (e.g. super heaters), large delays and non-minimum phase behavior (boiler, batch,..) are covered
  • INCA PID Tuner generates PID parameters for your DCS. All common DCS and PLC templates are known. Templates can be generated for less common or new DCS/PLC systems
  • Automatic reporting. Keep track of all tuning activities on every PID loop
  • Tune your controllers “First time right”
  • Do you have to deal with interacting PID loops? Have a look at INCA AptiTune

Have a look at the INCA PID Tuner workflow

Watch these webinars on PID Performances, Cascading loops, Interacting loops, PID tuning during plant startup, the D in PID

For complex loops in highly interacting systems, the multivariable PID tuning tool INCA Aptitune is the right tool.

Need PID tuning training? Click here

Best practices

  • Look beyond the controllers. Look at the process, the instruments, the actuators,..
  • Use state of the art tuning tools
  • Tune controllers based on engineering specifications that matter like max overshoot, minimum robustness, minimal settling times,….
  • Keep it simple. Avoid gain scheduling etc when possible by applying robust controllers
  • Document all the modifications in a clear way
  • Thoroughly test new control structures before the commissioning