In the process of the rice germination, temperature control is the key. Due to the accelerating seed germination system belongs to a complex nonlinear, large time delay and multivariable, it is difficult to establish the exact mathematical relationship model. In order to solve this problem, in this paper, we established the model based on RBF neural network, and used genetic algorithm to optimize the parameters of the neural network. In order to realize the accurate control of temperature and ensure the quality of rice sprouting, Fuzzy-PID control method can adjusts the parameters of PID and effectively improve the uniform distribution of temperature in the germinating box. The 3D graphics of temperature distribution obtained by MATLAB can show effectiveness of the method. Finally, the control strategy and system model improving the rice budding rate and evenness of emergence, are verified by experimental verification.
목차
Abstract 1. Introduction 2. The Working Principle Of The Rice Sprouting 3. The Mathematical Modeling in Germination Process 3.1. Collecting and Processing of Experiment Data 3.2. Genetic Algorithm to Optimize the Design of the RBF Network 3.3. Genetic Algorithm to Optimize the Design of the RBF Network 4. The Control Of Fuzzy-PID 5. Experimental Verification 6. Conclusion Acknowledgments References
키워드
Rice germinationFuzzy-PIDRBFGenetic algorithm
저자
Shi Jianfei [ College of Information Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China ]
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
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 Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.9 No.4