Skip to content

MPC with Feed-forward Steady-State Target Optimization (SSTO)

License

Notifications You must be signed in to change notification settings

paulomarconi/MPC-SSTO

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MPC with Feed-forward Steady-State Target Optimization (SSTO)

The following document presents a constrained Linear Quadratic Model Predictive Control (LQ-MPC) with offset-free tracking and disturbance rejection using the feed-forward Steady-State Target Optimization (SSTO) approach for an isolated power system.

The MPC control law uses Finite-Receding-Horizon method in dual-mode. Stability and recursive feasibility are guaranteed by off-line dual-mode and on-line optimization and the results are presented by Matlab simulation.

Matlab folder contains:

  • Main (Assignment.m)
  • Constraints matrices
  • Cost matrices
  • Prediction matrices

Coursework project:

  • University of Sheffield, UK.
  • Course: ACS6116 - Advanced Industrial Control
  • Prof. Paul Trodden