Electric Power Subsystem Modeling of a Remote Sensing Satellite Based on Multi-Input and Output Fuzzy Systems

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RAMEZANI MORTEZA

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Journal Paper

Paper Information

Journal: KARAFAN Year:2021 | Volume:17 | Issue:4 Page(s): 45-58

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Information Journal Paper

Title

Electric Power Subsystem Modeling of a Remote Sensing Satellite Based on Multi-Input and Output Fuzzy Systems

Author(s)

RAMEZANI MORTEZA | Issue Writer Certificate

Keywords

Satellite conceptual design

Fuzzy systems

Multi-input and multi-output

fuzzy

Remote sensing satellite

Electric power subsystem (EPS)

Abstract

Modeling and analysis of systems, particularly in complex systems with noise and uncertainty in behavior recognition and decision making of systems, is of vital importance. In this article, such system problems were solved to the greatest degree possible based on fuzzy theory. This fuzzy system has four input variables and two output variables. Since the fuzzy rules were obtained from an experienced expert in Electric Power Subsystem (EPS) design, the results were expected to be more practical and logical in comparison with the real behavior of the subsystem. The proposed fuzzy system can model the qualitative data of an expert. The simulated results had suitable accuracy in conceptual design compared with the practical data of Remote sensing satellites. The results also showed that Fuzzy systems can be used effectively to design the EPS of a Remote sensing satellite.

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APA: Copy

RAMEZANI, MORTEZA. (2021). Electric Power Subsystem Modeling of a Remote Sensing Satellite Based on Multi-Input and Output Fuzzy Systems. KARAFAN, 17(4 ), 45-58. SID. https://sid.ir/paper/387898/en

Vancouver: Copy

RAMEZANI MORTEZA. Electric Power Subsystem Modeling of a Remote Sensing Satellite Based on Multi-Input and Output Fuzzy Systems. KARAFAN[Internet]. 2021;17(4 ):45-58. Available from: https://sid.ir/paper/387898/en

IEEE: Copy

MORTEZA RAMEZANI, “Electric Power Subsystem Modeling of a Remote Sensing Satellite Based on Multi-Input and Output Fuzzy Systems,” KARAFAN, vol. 17, no. 4 , pp. 45–58, 2021, [Online]. Available: https://sid.ir/paper/387898/en

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