Abstract
Model predictive control (MPC) has gained increasingly popularities in the field of power electronics and electrical drive systems. In MPC, the control objectives are evaluated in the cost function within a certain number of prediction horizon. Compared with conventional PI-based methods, MPC shows the merits of simple concept, straightforward implementation, fast dynamic response, flexible inclusion of constraints and ability to handle multi-objective nonlinear system. Finite control set MPC (FCS-MPC) is one of the common-used MPC schemes. In this work, the comparisons of FCS-MPC schemes and the conventional PI-based method, e.g., direct torque control (DTC) and fiel-doriented control (FOC) are carried out. It is validated that FCS-MPC methods achieves a better control performance at both the steady state and transient state.
Original language | English |
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Title of host publication | 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350396867 |
ISBN (Print) | 9798350396867 |
DOIs | |
State | Published - 2023 |
Event | 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 - Wuhan, China Duration: 2023 → 2023 |
Publication series
Name | 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 |
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Conference
Conference | 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 |
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Country/Territory | China |
City | Wuhan |
Period | 16/06/23 → 19/06/23 |
Bibliographical note
Funding Information:ACKNOWLEDGEMENT J. Rodriguez acknowledges the support of ANID through projects FB0008, 1210208 and 1221293.
Publisher Copyright:
© 2023 IEEE.
ASJC Scopus subject areas
- Control and Optimization
- Modeling and Simulation
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Mechanical Engineering
- Safety, Risk, Reliability and Quality