Published July 1, 2018
| Version v1
Journal article
Single Sampling Multi Controlling- Model Predicted Control for Single Inverters
Creators
- 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/394/4/042048Additional details
Identifiers
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