Problem with Model Predictive Controller Design
显示 更早的评论
Hello, I am new to controller design. For my research work I am developing discrete time linear parameter varying state space model based model predictive controller. I have a linear parameter varying state space model in discrete format. My first question is If i want to simulate the controller, Do I necessarily have to have a simulation plant (apart from State Space) or real sensor outputs ?
My second question is does Adaptive MPC always takes (A,B,C,D,U,Y,X and DX) as input because I have (X and Xk+1) in my discrete state space format?
回答（1 个）
Rijuta
2023-3-21
0 个投票
Hi Mohit,
I understand to want to know if you need a simulation plant to simulate a controller and also understand about Adaptive MPC.
To simulate your model predictive controller in MATLAB, you will need a simulation plant that is consistent with your linear parameter varying state space model, and you can incorporate measurement noise to simulate sensor outputs. If your linear parameter varying state space model includes the state vectors x(k) and x(k+1), you can use these vectors as inputs to the MATLAB function that creates the Adaptive MPC controller. The specific function you use will depend on the MATLAB toolbox you are working with.
I hope the above explanation answers your question.
类别
在 帮助中心 和 File Exchange 中查找有关 Controller Creation 的更多信息
2023-2-8
2023-5-17
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
