Published July 1, 2018 | Version v1
Journal article

Single Sampling Multi Controlling- Model Predicted Control for Single Inverters

  • 1. Shenzhen Research Institute of Xiamen University, Shenzhen (China)
  • 2. Department of Instrumental Electrical Engineering, School of Aerospace Engineering, Xiamen University, Xiamen (China)
  • 3. College of Mechanical and Electrical Engineering, Longyan University, Longyan (China)

Description

In this paper, a single sampling multi controlling-model predicted control (SSMC-MPC) scheme is proposed to decrease a considerable part of the computational burden and reduce the dependence on the sampling module. The SSMC-MPC achieves a ratio of control frequency to sampling frequency of N (N∈Z). The same control frequency requires only a lower sampling frequency module, which saves hardware costs and has advantages in practical application. By comparing the control effect of traditional FCS-MPC algorithm and SSMC-MPC algorithm, the proposed method and benefits were validated by simulations in MATLAB/Simulink. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/394/4/042048

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
394
Journal Issue
4
Journal Page Range
[9 p.]
ISSN
1757-899X

Conference

Title
5. International Conference on Advanced Composite Materials and Manufacturing Engineering
Dates
16-17 Jun 2018
Place
Xishuangbanna (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52092743
Subject category
S36: MATERIALS SCIENCE;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; COMPARATIVE EVALUATIONS; COMPUTERIZED SIMULATION; CONTROL; INVERTERS; SAMPLING
Descriptors DEC
ELECTRICAL EQUIPMENT; EQUIPMENT; EVALUATION; MATHEMATICAL LOGIC; SIMULATION