How to Increase the Fuzzy Control of Belt Speed Regulation of Feeder
Feeder is a device that uses volume to quantify, and can continuously and uniformly transport tobacco leaf, tobacco and other materials. The main structure as shown in Figure 1 is: storage box, inclined conveyor belt, metering tube, photoelectric sensor. Storage tank can store a certain amount of material, and play a buffer role. Inclined conveyor belt is used for conveying and lifting materials. Generally, it can be controlled by variable speed adjustment. There are three photoelectric sensors installed on the metering tube to control the inclined conveyor belt as follows: when the material blocks the high level photoelectric switch, stop the inclined conveyor belt; when the material blocks the middle level photoelectric switch, slow control the inclined conveyor belt; when the material only blocks the photoelectric switch of the material level, fast control the inclined conveyor belt.
From the working principle of inclined conveyor belt, it can be seen that the speed control of inclined conveyor belt is not continuous, but a step control of two kinds of speed. When the material working conditions change, it is easy to cause the front end material disjointing or subsequent material congestion. Aiming at this defect, this paper puts forward a differential control scheme: the speed of inclined conveyor belt is composed of two parts: V1AV, V: a fixed value of speed which can be converted according to the average flow rate of material; AV: the difference of speed which can be adjusted according to the working condition of material; and the control speed of inclined conveyor belt composed of these two parts, which can be adjusted continuously according to the working condition of material. Speed value. Method
According to the above improvement scheme, the key point is to control V. The length of time that the photoelectric sensor of material level on the metering tube is shielded and turned on can be chosen to change the size and direction of V. This kind of corresponding function relation is expressed by fuzzy mathematics in this paper.