Peanut Automatic Picking Ovary Stalk Removal Adaptive Matching Control System and Its Method
An adaptive matching and control system technology, applied in the fields of application, food science, food processing, etc., can solve the problems of low grading efficiency and poor quality, and achieve the effects of improving quality, ensuring reliability, and realizing intelligence and informatization
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Embodiment 1
[0069] Embodiment 1. An adaptive matching control system for removing the ovary stalk for automatic selection of peanuts. Based on the feeding amount and dry humidity of the peanut selection mechanism, the operating frequency of the motors of each part of the machine is regulated to achieve the best adaptive control. state, its principle block diagram is as follows figure 1 As shown, including main controller, elevator motor and elevator motor driver, fan and fan driver, vibrating screen motor and vibrating screen motor driver, disc cutter motor and disc cutter motor driver (disc The cutter group is used to cut the peanut ovary stalk), the motor driver of the elevator, the fan driver, the motor driver of the vibrating screen and the motor driver of the disc cutter group are all electrically connected with the main controller, the structure diagram of the peanut selection mechanism Such as Figure 2-4 As shown, it is also provided with a dry humidity sensor, a first stress sen...
Embodiment 2
[0071] Embodiment 2, based on the control system proposed in Embodiment 1, the specific adaptive matching process based on the data collected by each sensor is realized in the following manner:
[0072] 1. Data extraction:
[0073] 1. Feed amount information extraction:
[0074] The second stress sensor detects the amount of peanut feeding and transmits the stress data to the main controller. After filtering and vibration elimination, the voltage signal reflects the stress, and the motor speed is controlled by adjusting the operating frequency according to the voltage.
[0075] When determining the actual feeding amount information, the stress sensor data whose value is in an abnormal state is first eliminated according to the specific working condition type. When determining the weight corresponding to each stress sensor, the actual value of the stress sensor is arranged in descending order. And the weight distribution is carried out according to the number of effective sens...
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