Implementing Model Reference Adaptive Control(MRAC) by taking error as the constraint parameter to optimise the PID parameters

[Magi2020]

I am going to implement a Model Reference Adaptive Control(MRAC) for a Two Tank  Conical I nteracting System with input as flow and output as Height.The output from the model and plant is compared and the error is obtainted.The error is taken as the constriant paraneter to obtain the parameters of the PID controller(optimisation technique) thereby reducing the error to zero.This can be implemented using the OUTPUT CONSTRAINT  block in the Simulink Library Browser.Do we have a block in labview that takes error as the constraint parameter  to produce an optimised Kp,Ki?Can we implement it by any other method?

[The_Devil]

Hi,

I understand you want to implement a control algorithm and design a control system. I would recommend you to have a look at the control design and simulation interface toolkit. It will be helpful in your PID controller optimization. You can have a look at the link given below:

http://digital.ni.com/manuals.nsf/websearch/A25258DF0D3E3CB386256B41000BA9B9

Hope this helps.

Thanks.