Robust fixed-order H∞ controller synthesis for multi-phase converters with input voltage feed-forward
•A robust H∞ control-based input voltage feed-forward compensation framework is proposed for multi-phase DC-DC converters.•An iterative convex-concave optimization procedure is presented for the design of the feedback and feed-forward controllers.•To improve the disturbance rejection, two sensitivit...
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| Published in | Journal of the Franklin Institute Vol. 360; no. 12; pp. 8251 - 8276 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
01.08.2023
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| Online Access | Get full text |
| ISSN | 0016-0032 1879-2693 |
| DOI | 10.1016/j.jfranklin.2023.06.012 |
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| Abstract | •A robust H∞ control-based input voltage feed-forward compensation framework is proposed for multi-phase DC-DC converters.•An iterative convex-concave optimization procedure is presented for the design of the feedback and feed-forward controllers.•To improve the disturbance rejection, two sensitivity functions are integrated into the H∞ controller design problem.•The proposed approach is experimentally verified on a 2-leg interleaved boost converter.
Generated DC voltages of batteries, fuel cells, or supercapacitors as power sources connected in series with DC-DC converters change according to operating conditions. In such cases, the output voltage stability of the multi-phase DC-DC converters is an issue, particularly being subject to noises in the input voltage and load current disturbances. Input voltage feed-forward (IVFF) compensation approaches can improve the output voltage stability of the DC-DC converters in such scenarios. This paper proposes a robust fixed-order H∞ based IVFF control framework by considering sensor noise, input voltage, and load current disturbances to improve output voltage stability and reference tracking performance. The mismatched disturbance transfer functions depending on parasitic resistances are derived to include in the controller synthesis process. An iterative convex-concave optimization-based robust fixed-order controller design algorithm is proposed to optimize the feedback and feed-forward controllers under the stability and performance constraints. This algorithm allows the designing of the controllers simultaneously. The feed-forward controller, whose structure is independent of the system transfer functions, is optimized without any model inversion or extra design steps. The performance of the proposed controller is compared with an integral linear quadratic regulator controller, a sliding mode PID controller augmented with a nonlinear disturbance observer, and a fixed-order robust controller designed with non-smooth techniques. Real-time implementation of the fixed-order control systems is performed on a 2-leg 200 W interleaved boost converter. The performances are discussed under external disturbance effects to show the validity of the proposed control approach. |
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| AbstractList | •A robust H∞ control-based input voltage feed-forward compensation framework is proposed for multi-phase DC-DC converters.•An iterative convex-concave optimization procedure is presented for the design of the feedback and feed-forward controllers.•To improve the disturbance rejection, two sensitivity functions are integrated into the H∞ controller design problem.•The proposed approach is experimentally verified on a 2-leg interleaved boost converter.
Generated DC voltages of batteries, fuel cells, or supercapacitors as power sources connected in series with DC-DC converters change according to operating conditions. In such cases, the output voltage stability of the multi-phase DC-DC converters is an issue, particularly being subject to noises in the input voltage and load current disturbances. Input voltage feed-forward (IVFF) compensation approaches can improve the output voltage stability of the DC-DC converters in such scenarios. This paper proposes a robust fixed-order H∞ based IVFF control framework by considering sensor noise, input voltage, and load current disturbances to improve output voltage stability and reference tracking performance. The mismatched disturbance transfer functions depending on parasitic resistances are derived to include in the controller synthesis process. An iterative convex-concave optimization-based robust fixed-order controller design algorithm is proposed to optimize the feedback and feed-forward controllers under the stability and performance constraints. This algorithm allows the designing of the controllers simultaneously. The feed-forward controller, whose structure is independent of the system transfer functions, is optimized without any model inversion or extra design steps. The performance of the proposed controller is compared with an integral linear quadratic regulator controller, a sliding mode PID controller augmented with a nonlinear disturbance observer, and a fixed-order robust controller designed with non-smooth techniques. Real-time implementation of the fixed-order control systems is performed on a 2-leg 200 W interleaved boost converter. The performances are discussed under external disturbance effects to show the validity of the proposed control approach. |
| Author | Keskin, Rıdvan Daş, Ersin Aliskan, Ibrahim |
| Author_xml | – sequence: 1 givenname: Rıdvan orcidid: 0000-0002-3232-0928 surname: Keskin fullname: Keskin, Rıdvan email: ridvan.keskin@beun.edu.tr organization: Zonguldak Bulent Ecevit University, Department of Electrical and Electronics Engineering, Zonguldak 67100, Türkiye – sequence: 2 givenname: Ibrahim orcidid: 0000-0003-3901-4955 surname: Aliskan fullname: Aliskan, Ibrahim email: ialiskan@yildiz.edu.tr organization: Yildiz Technical University, Department of Control and Automation Engineering, Istanbul 34220, Türkiye – sequence: 3 givenname: Ersin orcidid: 0000-0003-1291-3803 surname: Daş fullname: Daş, Ersin email: ersindas@caltech.edu organization: California Institute of Technology, Computing and Mathematical Sciences, Pasadena, CA 91125, USA |
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| Cites_doi | 10.3166/ejc.13.366-381 10.1049/cth2.12024 10.1016/j.oceaneng.2023.113882 10.1016/j.conengprac.2013.11.017 10.1080/00207217.2021.1966661 10.1016/j.egyr.2020.02.035 10.1109/TIE.2012.2183841 10.1016/j.jfranklin.2022.03.018 10.1049/iet-cta.2015.0154 10.1080/10556789908805766 10.1109/81.809549 10.1016/j.mechatronics.2017.09.010 10.1016/j.egyr.2022.03.200 10.1016/j.jfranklin.2023.01.027 10.1109/TPEL.2022.3169167 10.1109/TPEL.2013.2270014 10.1016/j.isatra.2021.11.005 10.1016/j.jfranklin.2022.11.036 10.1109/TVT.2012.2183628 10.1177/01423312211019560 10.1016/j.automatica.2017.07.063 10.1016/j.jfranklin.2022.09.055 10.1109/TCSI.2006.879052 10.1016/j.isatra.2022.03.026 10.3166/ejc.17.261-272 10.1016/j.jprocont.2012.01.009 10.3166/ejc.17.429-441 10.1109/TPEL.2016.2562108 10.1016/j.jprocont.2013.08.001 |
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