Low Complexity Model Predictive Control in Power Electronics and Power SystemsCuvillier Verlag, 2005 - 291 pages |
Contents
Acknowledgements | 1 |
Background | 15 |
4 | 23 |
Optimal Complexity Reduction of Piecewise Affine Systems | 55 |
NonDisjoint Optimal Complexity Reduction | 65 |
Problem Description | 87 |
DiscreteTime Modelling of DTC Drives | 103 |
Model Predictive Direct Torque Control | 121 |
Power Systems | 213 |
5 | 232 |
A HYSDEL Code | 245 |
DTC Drive with ThreeLevel Inverter | 252 |
Power System | 259 |
B Nomenclature | 265 |
Curriculum Vitae | 275 |
SwitchMode DCDC Converters | 177 |
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Low Complexity Model Predictive Control in Power Electronics and Power Systems No preview available - 2005 |
Common terms and phrases
algorithm approximation Boolean bounds capacitor CFTOC closed-loop composition of DHAS control input control moves control scheme controlled variables corresponding DC-DC converter defined derive discrete-time DTC drive duty cycle dynamics ETH Zurich feasible Finite State Machine flux vector Geyer hybrid model hybrid systems hyperplane arrangement HYSDEL IEEE implementation induction motor input sequence integer Kalman filter load look-up table manipulated variables MLD model Model Predictive Control MORARI MPC-E MPC-PL multi-parametric neutral point potential nonlinear number of polyhedra on-line operating point Optimal Complexity Reduction optimal control optimal control problem paperboy parameters polyhedral partition polyhedron Power Electronics power system prediction horizon prediction interval prediction model PWA model PWA state-feedback control reduced resulting rotating rotor flux SC & SL Section set of polyhedra soft constraints solving state-feedback control law state-space state-update stator flux switch transitions tap changer three-level inverter time-instant time-step torque trajectories two-level inverter vo,ref voltage vector white polyhedra zero