Abstract

Aiming at the problems of the single control scheme, the few aspects of monitoring and diagnosis, and the large delay time of the plot combine harvester, this paper designs the forward speed control algorithm of the plot Chinese cabbage seed harvester. This paper studies the theory of association rules, has used SQL Server to build a database including the job parameters of the main monitoring objects, and has mined the association rules between the job parameters and the feed amount through Analysis Service. Combining the knowledge of association rules and ordinary fuzzy PID algorithm, the article has built a model and performed simulation verification. The results show that the algorithm can adjust the forward speed reasonably and quickly when the feed volume increases.

Highlights

  • Control programme designThe main reason for the blockage failure of the combined harvester is that the increase of feed volume exceeds the normal working range

  • When some parameters that have an effect on harvester performance, such as air volume of cleaning fan and environmental conditions of Chinese cabbage seed harvest test, are in normal working state, association rules mining of harvester working database is carried out with the help of Analysis Service component built in SQL Server(Liu et al, 2012)

  • The simulation results show that the control system can reasonably adjust the forward speed and drum speed when the feed volume increases by about 15%

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Summary

Control programme design

The main reason for the blockage failure of the combined harvester is that the increase of feed volume exceeds the normal working range. During the inter-field operation of the combined harvester, the main working parts affecting the change of feeding quantity are threshing drum, plucking wheel, feeding churning dragon and so on. The control algorithm mainly takes the deviation and the change rate of the deviation of the rotational speed parameters such as threshing drum, plucking wheel and feeding churning dragon as the system control reference. In this way, the feeding amount can be kept within the normal range and the harvester can be guaranteed to harvest in the field in accordance with the normal operation process. By changing the voltage value to control the servo valve flow and change the speed of the hydraulic motor, so as to achieve the effect of changing the speed

Theoretical Basis of Relevance Rules
Establishment of a harvester database
Rule mining of job information
Extraction and Analysis of Strong Association Rules
Findings
Conclusions

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