The novel industrial controller #RelaxC is an innovative and unique method of stochastic gradient descent on time evolving systems. Thus, it allows any industrial to reduce time design, commissioning and maintenance costs while keeping the control of its processes and increasing their efficiency without overshoot with only 2 or 3 physical parameters of your Process. Relaxc is also a methodology for designing an OPTIMAL process control without overshoot response. Here we apply it to compute Relaxc coefficients and well-balanced PID for free.
Please activate the session to know your RPI and compute Relaxc and PID coefficients
This is a beta version of RelaxcTuner, if you have any remarks, you want to share your experience of RelaxcTuner, if you see any errors, do not hesitate to let us know.
They can use #RelaxcTuner to quickly find the Relaxc setting for their process regardless of its mathematical complexity and to assess the added value (low carbon emissions, reduce waste, improving quality ) of Relaxc with its RPI (Relaxc Performance Index) compared to other conventional advanced or non-advanced controllers.
RelaxcTuner is useful tool for all PID users who wish to continue managing the PID controller without a rule of thumb or trial-error method.
The Relaxc graphical rules on the process physical response to allow PID coefficients to be determined algebraically( Not Bode, Not pole placement, Not optimization etc).
We change of paradigm with Relaxc. Apply to a PID, it offers a good compromise or trade-off to start tuning a PID with a well-balanced PID . But unlike Relaxc,
the mathematical structure of PID does not guarantee its operation on a real case as all the method around of PID and does not allow to reach the Relaxc performance: Not overshoot, active load disturbance rejection, control of the time response.
If you have any difficulties to control or maintain your process efficiently and quickly or if you want to reach the RPI, Using Relaxc can help you whatever the complexity of your process. Don't hesitate to contact Appedge.
Embedd your process physical parameters into Relaxc. At all stages of the design process it is interesting to predict the behavior and the transient of the closed loop process and
the initial value of the control. #Relaxctuner gives the answers.
In addition, the physical meaning of the Relaxc parameters allows to anticipate, releases the innovation and helps to optimize the design of the process with 3 simple main information:
We show a comparative study with conventional controllers ( Here PID) is carried out to highlight the performance of Relaxc.
For that, we compare the two controllers, with the performance criterion IAE=∫|e|dt . The yellow color represents the error
between #RelaxC and PID. Here, whe have degraded Relaxc to obtain the same response time as the PID set by “Simulink PID Tuner”.
The yellow area shows that the PID lost the control of the process 3.5 times more than Relaxc
in order to hold the setpoint in the presence of load disturbances.
The RPI= 3.5 i.e 350% less waste with Relaxc.
Futhemore, if the process reactivity is infinity or Tre tends towards to zero then the load disturbances will be vanished by Relaxc. To be convinced, you have to use Relaxc.
The RPI indicator gives a reliable result when using a process with a tlag.
Another interesting point, the initial command will be: u0=k_s*SP=0.09 which is 13 times less peak energy than a PID u_pid=1.2 for the same response time!. #RelaxC is the ideal solution to achieve substantial savings (time, energy, efforts) and not to stress your process:
#Relaxc is a "Green Controller".
Any question : email@example.com
Detailed tuning on Research Gate : Here
Help Contact : firstname.lastname@example.org
Goto Website Relaxc