Earticle

초록

영어

In this paper, we combine the literature review and technique reports to conduct research on the novel non-contact power supply system tuning methodology based on fuzzy neural network theory under the random load condition. Power supply by non-contact way could increase the flexibility of electrical equipment, eliminates the traditional power supply methods of safe hidden trouble and makes up for the traditional power supply methods because of the existence of electrical connections of the lack of divination. The background harmonic separation of qualitative method is detecting system side and user side common connection point for the size of the harmonic distortion effect. The genetic algorithm with adaptive system, cellular automata, chaos theory and artificial intelligence is considered for the next decade computing technology has a significant impact on the key technology which is adopted by our research to optimize the proposed system. Mathematical analysis and dynamic load change can lead to circuit reactance, so system will deviate from the resonance state. The experimental simulation proves the feasibility and robustness of our proposed methodology. In the near future, more related research will be conducted to optimize and modify the current method.

목차

Abstract
 1. Introduction
 2. The Fuzzy Neural Network Theory
  2.1. The Fuzzy Neural Network Inverse System
  2.2. The Fuzzy and Chaotic Systems
 3. The Non-Contact Power Supply System Tuning Methodology
  3.1. The Principles of Power System Harmonic
  3.2. The Non-Contact Power Supply System
  3.3. The Systematic Description of the Proposed Method
 4. Experimental Analysis and Numerical Simulation
 5. Conclusion and Summary
 References

키워드

저자

• Yaping Yang [ Xi’an Aeronautical University, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605