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Comparative study of short prediction MPC-KF with PI controller for DC-DC buck converter

Erliza, Serri and Abu Zaharin, Ahmad (2017) Comparative study of short prediction MPC-KF with PI controller for DC-DC buck converter. In: IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2016), 22 October 2016 , UniversIti Teknologi Mara Shah Alam, Malaysia. pp. 219-224.. ISBN 978-1-5090-4186-2

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Abstract

In nature, the DC-DC converter deals with high switching phenomenon that contributes to the higher conduction losses. Its operation conventionally associated with PI/PID controller in order to meet the desired output. To increase the DC-DC converter performance, an advanced controller has been proposed. However, it is deals with complex algorithm that made the controller cost higher. In this paper, the short prediction horizon of MPC using search tree optimization that generates low switching phenomenon is proposed. The optimal problem is being solve using on-line to reduce the computational effort. The Kalman filter is then used for load estimation. This control approach for DC-DC converter has produced the promising output transient performance when compared with conventional PI controller while also minimizing the switching losses phenomenon.

Item Type: Conference or Workshop Item (Speech)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: DC-DC converter; PI/PID control; Model predictive control (MPC); Kalman filter (KF)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 19 Jul 2018 04:01
Last Modified: 19 Jul 2018 04:01
URI: http://umpir.ump.edu.my/id/eprint/18244
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