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Dead-Time Compensation for Model-free Predictive Control in Multilevel Inverters
ID：116 View Protection：PUBLIC Updated Time：2023-06-12 21:56:11 Hits：1149 Poster Presentation

Start Time：2023-06-19 10:15（Asia/Shanghai）

Duration：0min

Session：E Poster Session » E3Poster Session 3

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Abstract
 Model predictive control (MPC) has been widely applied to various medium-voltage power converters due to its advantages in good dynamic performance and multi-objective control. However, the control algorithm requires the accurate model in the controlled system. As a result, the parameter mismatch between the actual model and control module leads to an undesired performance of MPC. Therefore, model-free predictive control (MFPC) has been developed in the literature to solve this issue. This approach uses a recursive least square (RLS) algorithm to estimate parameters in the model based on the measured values. In such systems, the dead-time makes the model nonlinear and leads to a poor prediction in the output currents and leads to the current distortion. In this paper, a dead-time compensation algorithm based on MFPC method is proposed to obtain a linear model and reduce the negative effects of dead-time. This can be done by compensating the phase voltage in the controller with the voltage second theorem. The dead-time compensation method is verified by simulation results.
Keywords
Model-free Predictive Control;Multilevel Inverter;MPC;Dead-time Compensation
Speaker
Jose Rodriguez
Universidad San Sebastian

Margarita Norambuena
Universidad Tecnica Federico Santa Maria

Mehdi Narimani
McMaster University

Zhituo Ni
Rockwell Automation Inc.

Yue Pan
McMaster University

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Important Date

  • Conference Date

    Jun 16

    2023

    to

    Jun 19

    2023

  • Jun 15 2023

    Contribution Submission Deadline

  • Jul 02 2023

    Registration deadline

Sponsored By
Huazhong University of Science and Technology, China
(IEEE PELS)
IEEE
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