In order to explore the adaptability and relationship of planter to field surface roughness, dynamic simulated testing was carried out on working performance of the designed direct seeding machine in field. The designed dynamic testing system of field surface roughness is composed of the roughness test devices, two angular displacement sensors, data acquisition card and computer, etc.. Through field test, the two types of field surface roughness were detected on the original field surface roughness formed by the working chassis and the field surface roughness formed after planters work. The signals during testing were analyzed in time-domain and frequency-domain by using Matlab software. The transfer functions of the system were established, and the dynamic characteristics of the system were analyzed. The results show that, the system is a linear one with the typical first order feature. The dynamic characteristics of the systems such as response speed, frequency bandwidth and thickness of covering soil and other performance indicators are able to meet the requirements of agricultural technology. The studied results provide a new method to explore the adaptability of the planter for field surface roughness, and provide technical references to study the overburden soil performance of the planter.
목차
Abstract 1. Introduction 2. Design of the Test System 2.1. Composition and Structure 2.2. Working Principle 3. The Calibration of the Test System 4. The Mathematical Model of Field Surface Roughness 5. Test and Result Analysis of Field Surface Roughness 5.1. Experimental Materials and Methods 5.2. Results and Analysis 6. Conclusion 7. Acknowledgements 8. References
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.1