Reformulation of the long-horizon direct model predictive control problem to reduce the computational effort
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
|Title of host publication||2014 IEEE Energy Conversion Congress and Exposition, ECCE 2014|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||8|
|Publication status||Published - 15 Sep 2014|
|Publication type||A4 Article in a conference publication|
For direct model predictive control schemes with current reference tracking, the underlying integer least-squares (ILS) problem is reformulated to reduce the computational complexity of the solution stage. This is achieved by exploiting the geometry of the ILS problem and by reducing the computations needed for its formulation and solution. A lattice reduction and a sphere decoding algorithm are implemented. A variable speed drive system with a three-level voltage source inverter serves as an illustrative example to demonstrate the effectiveness of the proposed algorithm.