Abstract
Model predictive control is a conceptually different control technique which offers a high flexibility to control different power electronics topologies and to manage several control objectives, without adding significant complexity to the system. MPC has demonstrated to be easier to implement and understand than classical speed control techniques such as FOC and DTC providing a high performance control of AC machines. The advances in modern control theory and microprocessors technology, during the last decades, have made it possible to apply MPC to power electronics and drives. The application of model predictive control to power electronics devices is straightforward, due to the availability of precise models and a finite number of control inputs given by the converter switching states. MPC can dramatically change the way electrical energy is controlled using power semiconductors, and it offers challenging opportunities for research in power electronics and electrical drives.
Original language | English |
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Title of host publication | Power Electronics for Renewable Energy Systems, Transportation and Industrial Applications |
Publisher | Wiley-IEEE Press |
Pages | 608-629 |
Number of pages | 22 |
Volume | 9781118634035 |
ISBN (Electronic) | 9781118755525 |
ISBN (Print) | 9781118634035 |
DOIs | |
Publication status | Published - 28 Jul 2014 |
Keywords
- Direct torque control
- Electrical machine model
- Field oriented control
- Microprocessors
- Predictive control
- Predictive current control
- Predictive torque control
- Speed control
- Variable speed drives
ASJC Scopus subject areas
- General Engineering