Fuzzy Control of the Spraying Medicine Control System

  • Yan Shi
  • Chunmei Zhang
  • Anbo Liang
  • Haibo Yuan
Part of the The International Federation for Information Processing book series (IFIPAICT, volume 259)

The continuous spraying was adopted by most of spraying pesticide systems, which can not accord to the extent and the characteristic change of targets to automatically regulate dose of drugs. This way not only resulted in waste of pesticides, but also caused pollution of environment. The designing studied the variable spraying pesticide system of real-time, which based sensory technology, at the same time, fuzzy control was applied in this system. The paper introduced the composition and control principle of the spraying pesticide system, at the other hand, the linking of Simulink and the fuzzy controller was introduced by this paper. Fuzziness of inputs and the outputs, the determination of subordinate functions, the establishment of fuzzy controlling rules and fuzzy control simulation of the spraying system were designed. Simulating result indicated that transiting time is short and the system is steady.

Keywords

fuzzy control variable spraying pesticide Matlab Simulink 

References

  1. Shi Yan 2004. Study on the System of Spraying Rate Varied by Pressure of Liquid Chemical Application, Chinese Agriculture University (in Chinese).Google Scholar
  2. Shi Donghai, Hu Xiao, Zhou Xusheng 2002. Data communicating technology of single-chips from elementary course to mastering, xi’an: Xidian university press, 99 (in Chinese).Google Scholar
  3. Li Chaoqing 2003. Data communicating technology about PC and single-chips with DSP, Beijing: Beihang university press, 30 (in Chinese).Google Scholar
  4. Zhang Guoliang, Zeng Jing, Ke Xizheng, etc. 2002. Fuzzy control and application of matlab, xi’an: xi’an jiaotong university press (in Chinese).Google Scholar
  5. Zhu Jing 1995. Theory of fuzzy control and system principle, Beijing: mechanical industry press (in Chinese).Google Scholar
  6. Zhu Jing 2005. Theory of fuzzy control and system principle, Beijing: mechanical industry press, 233-234 (in Chinese).Google Scholar
  7. Lou Shuntian, Hu Chang-hua, Zhang Wei 2001. System analyzing and designing based on matlab, xi’an: xidian university press (in Chinese).Google Scholar
  8. Sun Liang 2004. matlab language and simulation of control system, Beijing: Beijing industry university press (in Chinese).Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Yan Shi
    • 1
  • Chunmei Zhang
    • 2
  • Anbo Liang
    • 3
  • Haibo Yuan
    • 2
  1. 1.Architecture and engineering collegeQingdao Agricultural UniversityChina
  2. 2.College of Engine & Electronic EngineeringQingdao Agricultural UniversityChina
  3. 3.International Intercommunion SchoolQingdao Agricultural UniversityChina

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