9 research outputs found
Estimation of Large-Scale Multi-Rate Systems ⋆
model predictive control and estimation of large-scal
Explicit model predictive control of permanent magnet synchronous motors based on multi-point linearization
A multi‐scenario nonlinear model predictive control approach for robust product transitions
Development of a model predictive controller for an active torsional vibration damper to suppress torsional vibrations in vehicle powertrains
Pole-free vs. stable-pole designs of minimum variance control for nonsquare LTI MIMO systems
Predictive control in power electronics and drives: basic concepts, theory, and methods
In this chapter we revise basic principles and methods of model predictive control with a view towards applications in power electronics and drives. The simplest predictive control formulations use horizon-one cost functions, which can be related to well-established dead-beat controllers. Model predictive control using larger horizons has the potential to give significant performance benefits, but requires more computations at each sampling instant to solve the associated optimization problems. For particular classes of system models, we discuss practical algorithms, which make long-horizon predictive control suitable for power electronics applications