Abstract
This paper presents a finite control set model predictive control (FCS-MPC) method to reduce the power module loss while meeting the converter performance requirements. Many modulation-level and system-level loss reduction strategies are proposed by either changing the switching frequency or adjusting the reactive power. However, increased control loops and complicated modulation schemes restrict the system performance and implementation. With the features of model predictive control, FCS-MPC has the capability to achieve several control targets by simultaneously optimizing multiple objective functions. In the proposed FCS-MPC, a secondary objective function is defined to reduce the power loss of semiconductor devices and relieve the thermal stress for power modules. This control mechanism provides the system with not only the straightforward effectiveness, but also maintaining the converter performance requirements. The proposed FCS-MPC is validated in the simulations and experiments. A 2.5-kW PWM rectifier prototype is developed to demonstrate the proposed control method.
Original language | English |
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Title of host publication | 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019 |
Pages | 225-231 |
Number of pages | 7 |
ISBN (Electronic) | 9781728103952 |
DOIs | |
State | Published - Sep 2019 |
Event | 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, United States Duration: Sep 29 2019 → Oct 3 2019 |
Publication series
Name | 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019 |
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Conference
Conference | 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 |
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Country/Territory | United States |
City | Baltimore |
Period | 9/29/19 → 10/3/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Junction temperature estimation
- Model predictive control
- Power loading
- Power loss reduction
- Thermal management
ASJC Scopus subject areas
- Mechanical Engineering
- Control and Optimization
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering