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Research analyzes speed control and inertia identification to enhance performance in combine harvesters, improving efficiency.
In response to the speed control requirements of the threshing cylinder in combine harvesters, this paper analyzes the working condition characteristics of the threshing cylinder and establishes a dynamic model. A mathematical model for the electrically driven threshing cylinder is established, and an adaptive speed control strategy is proposed based on the identification of moment of inertia. Experimental results indicate that, the control accuracy and robustness of the system are enhanced. During the start-up process, the overshoot in speed and convergence time are reduced by 11.1% and 31.3%, respectively; when fluctuations occur in the feed rate of the threshing cylinder, the maximum speed fluctuation and adjustment time are reduced by 55% and 33.3%, respectively; when the moisture content of crops changes, the shortest convergence time and maximum fluctuation amplitude of the threshing cylinder's speed are reduced by 57.7% and 18.8%, respectively. This research provides theoretical support and practical foundation for the intelligent control of electrically driven combine harvesters, demonstrating considerable application value.
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Qian et al. (2025) studied this question.
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