Evidence map›Paper›PMID 36616744›Full record

ArticleSensors (Basel, Switzerland)2022

Research on Parameter Optimization Method of Sliding Mode Controller for the Grid-Connected Composite Device Based on IMFO Algorithm.

Ji Sun, Jiajun Liu, Miao Miao, Haokun Lin

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ji SunSchool of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, China.ORCID 0000-0002-2074-7860
Jiajun LiuSchool of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, China.
Miao MiaoSchool of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, China.
Haokun LinSchool of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, China.
Xi'an University of Technology · CN

Funding

National Natural Science Foundation of China 52077176
6 · The paper itself

Abstract

In order to make the grid-connected composite device (GCCD) controller meet the requirements of different operating modes and complex working conditions of power grid, this paper proposes to introduce sliding mode control (SMC) into GCCD controller. Firstly, the mathematical model of MMC converter is established, and the sliding mode controller is designed based on the SMC principle. Then, aiming at the problems of complex controller structure and difficult parameter tuning in multiple modes of the GCCD, this paper proposes a controller parameter optimization method based on improved Month Flame optimization (IMFO) algorithm. This method improves the

Indexed as

back-to-back MMC-HVDCgrid-connected composite devicemoth-flame optimization algorithmPython–PSCAD joint simulationsliding mode control

Identifiers

PMID36616744
PMCPMC9823455
OpenAlexW4313244836

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.