Screw type material discharging device based on variable-rate learning and controller of screw type material discharging device

Abstract

The invention discloses a screw type material discharging device based on variable-rate learning and a controller of the screw type material discharging device. The discharging device comprises a rack, a discharging bin, a screw conveyor, a metering hopper, a weighing module, a discharging valve, a material mixing hopper, a controller, a material storage in and a feeding pump. The upper portion ofthe metering hopper is provided with a funnel-shaped material distributor, and the discharging bin is internally provided with a distance sensor and a stirrer. The controller is used for controllingthe screw conveyor through iterative learning based on the discharging error of the single time and the accumulated discharging error, and dynamic adjustment is conducted on the learning factor of thedischarging error of the single time and the learning factor of the accumulated discharging error based on the changes of the discharging error in the iterative process. By means of the screw type material discharging device based on variable-rate learning and the controller of the screw type material discharging device, the distance sensor and the stirrer are used for detecting and the adjustingmaterial accumulation in the discharging bin, stability of compactness of materials is ensured, and the learning factor can be automatically adjusted and optimized. Compared with the prior art, repeated parameter cut and try are not needed, an iterative approach good in convergence performance can be rapidly obtained, and falling materials can be effectively utilized in the iterative learning process.

Description

technical field [0001] The invention relates to the field of quantitative batching, in particular to a screw-type material unloading device based on variable rate learning and a controller thereof. Background technique [0002] In industrial and agricultural manufacturing and commodity packaging, there are a large number of powder materials, such as polypropylene, polystyrene, polyvinyl chloride, light methyl cellulose, polypropylene nitrile, epoxy resin powder coating and other chemical raw materials, quartz sand, Raw materials for building materials such as cement, household chemical products such as washing powder, agricultural products such as millet and soybeans, grains and legumes, or processed food in powder, slag, and granular form, agricultural production materials such as feed, chemical fertilizers, and pesticides, as well as powdered and granular health care products, Chinese and Western medicines , condiments, etc. all need automatic quantitative packaging or ing...

AI Technical Summary

Problems solved by technology

In order to improve the feeding accuracy, various adjustment methods have appeared, such as the Chinese patent application number 201320001933.3, which adopts frequency conversion speed regulation for the screw, and gradually slows down the feeding speed when it is close to the target value, reducing the drop in the air; the application number is 201310234280.8 Chinese patent, in the three-speed frequency conversion feeding process of soda ash packaging machine, large and small screws are used to feed in multiple stages; the Chinese patent with application number 200920248298.2 considers that it is difficult to control the quantitative during fast feeding, and it is reduced by the method of fast first and then slow The impact of feeding drop; the final value of the blanking of these non-weighing schemes can only be close to the expected value, and the accuracy is not high

[0005] Weighing type quantification is used for metering, filling or feeding according to the set amount of material at one time. It needs to be weighed continuously during the feeding process, and the feeding amount is controlled according to the feedback of the weighing result. Because the weighing is affected by the impact of the feeding and the lagging material in the air. Large, the feeding speed and precision are facing many difficulties

In order to compensate for the interference of airborne materials on the measurement accuracy, many schemes adopt the technology of closing the valve in advance. For example, the Chinese patent application number 201410230888.8 divides the ingredient weighing process into three stages, and uses iterative learning control method to calculate in the last stage Close the advance control amount, but the learning factor of iterative learning in this scheme needs to be optimized through trial and error and feedback observation, so long-term experiments and debugging are required, and this scheme can only improve the blanking accuracy after the learning is completed. The accumulative blanking accuracy in the learning process cannot be guaranteed

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