How to code Model Predictive Control in Simulink with DAQ Board Input Output
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Hello Community,
Currently I have only Discrete Statespace Model of Plant.
My Goal is to implement MPC controller on real hardware i.e. PZT actuator and operated it.
I will take Analog input signal (y) from my Sensor using NI DAQ USB6363 as well I will apply my control output signal (u) from MPC to my plant using same NI DAQ board.
I need help in establishing this task, I don't know how to move forward and how to design simulink model for such task. I am also not sure about objective function, constraints etc of my system yet.
As far I know that I have only A,B,C,D matrices. Now the next step is to solve Quadratic Problem and define constraints, but how to do? In short I need some codes for MPC I think.
Any help will be appreciated.
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Accepted Answer
Angelo Yeo
on 6 Nov 2023
This question is quite broad. Initially, it seems beneficial to utilize MathWorks' Model Predictive Control toolbox. However, before that, it might be better to familiarize yourself with the basic concepts. The videos available at this link could provide a good foundation for learning these basic concepts.
Afterwards, I recommend using our toolbox, which can be found at this link. However, a potential obstacle could be using NI DAQ device. For this, you would need to use the Hardware Support Package, which can be installed from this link. Once installed, you can receive data through an interface like this one.
You can then control the received data using the Model Predictive Control toolbox and send the output back as needed.
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Angelo Yeo
on 17 Nov 2023
You can refer to the following documentation for real time application with MPC. In essence, you can generate C/C++ code with "Coder" group toolboxes and embed the code into your device.
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