My current research is about SPC and I'm interested in tuning strategies for these types of predictive control approaches. The cost function is on the photo and the tuning parameters are Np (prediction horizon), Nc (control horizon), Q (weighting matrix for error tracking), and R (weighting matrix for control effort). How can I select these parameters to guarantee a desired closed-loop performance? Do you have a paper to recommend me? Or any idea how to get started?
Hi Victor,
You can find Q and R tunning in all optimal control text book. For Predictive contrt, the best reference to start is Wang's book:
Wang L. Model predictive control system design and implementation using MATLAB®. Springer Science & Business Media; 2009 Feb 14.
I hope this would be helpful for you.
Regards
- Badges
- Science topic
- Similar topics
- Engineering
- Control Theory