The spectrum of the random space vector pulse width modulation (SVPWM) strategy is extremely complicated due to the random variable. A new algorithm based on the Monte Carlo method is proposed to optimize and customize the frequency spectrum of the random SVPWM strategy. A universal theoretical spectrum computation method is given for the SVPWM strategy firstly. In addition, the key procedure of the proposed algorithm is presented. Finally, several computation examples are provided to verify the effectiveness and feasibility. The analysis and computation examples show that the proposed algorithm has several advantages, and the results verify its convenience and feasibility.
목차
Abstract 1. Introduction 2. Random SVPWM Strategy 3. Harmonic Frequency Spectrum Computation of SVPWM Strategy 4. Harmonic Spectrum Customization and Optimization Algorithm 5. Examples and Results 5.1. Computation Example 1: Harmonic Spectrum for the Deterministic SVPWM 5.2. Computation Example 2: Random Zero-vector Distribution SVPWM 5.3. Computation Example 3: Random Pulse Position SVPWM 5.4. Computation Example 3: Hybrid Random SVPWM 5.5. Comparison of Several Different Modulation Strategies 6. Conclusions References
키워드
Space vector pulse width modulationMonte CarloMaximum harmonic amplitudeRandom variable
저자
Guoqiang Chen [ School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China ]
Jianli Kang [ School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.12