Abstract
The main working parts of the cleaning device of a rice combine harvester can be controlled by an established control strategy in real time based on the monitored grain sieve loss. This is an efficient way to improve their cleaning adaptability, since as a consequence, the main working parameters of combine harvesters can automatically adapt to crop and environment changes, and the corresponding cleaning performance can be improved. To achieve the target of cleaning control based on the monitored grain sieve loss, a fuzzy control system was developed, which selected S7-1200 PLC as the main control unit to build the lower computer hardware system, utilized ladder language to complete the system compilation, and used LabVIEW 14.0 software to design the host–computer interface. The effects of fan speed, guide plate angle, and sieve opening on the grain sieve loss and grain impurity ratio have been investigated through a large number of bench tests. The relevance level of the operating parameters on the performance parameters has been determined also, and finally, a fuzzy control model was developed for the cleaning system. The experiment results indicated that the designed fuzzy control model can control the cleaning section settings, such as fan speed and guide plate angle automatically, and reduce the grain sieve loss to some extent.
Highlights
The use of combine harvesters for harvesting rice fields is rapidly increasing year by year in China as the planting area and yield keep increasing [1]
On the basis of studying the grain sieve loss sensor [16,17], this paper mainly studies the correlation between grain sieve loss and the related working parameters to determine the main factors affecting cleaning performance; a cleaning process fuzzy control system was designed to maintain the cleaning system with a good cleaning performance
The JMP 12.0 software was used to analyze the effects of the main working parameters on grain sieve loss utilizing the experimental results shown in Table 3, and the analysis results are shown in
Summary
The use of combine harvesters for harvesting rice fields is rapidly increasing year by year in China as the planting area and yield keep increasing [1]. Most combine harvesters merely have engine revolution speed monitoring devices installed, parameter settings can only be adjusted when combine harvesters stop working based on the experience of the operator, and the cleaning performance varies dramatically. Utilizing sensor technology and fuzzy control theory to develop a control system that can monitor grain sieve loss and the main working parts of the cleaning system that can be controlled by the established control strategy in real time is an efficient way to improve their cleaning adaptability. On the basis of studying the grain sieve loss sensor [16,17], this paper mainly studies the correlation between grain sieve loss and the related working parameters (fan speed, guide plate angle, and sieve opening) to determine the main factors affecting cleaning performance; a cleaning process fuzzy control system was designed to maintain the cleaning system with a good cleaning performance
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