Micro-deviation area self-correction fuzzy control method

Abstract

The invention discloses a micro-deviation area self-correction fuzzy control method of a coil stock deviation correction guiding control device. The method comprises the following steps of: when the error of output of a photoelectric sensor is greater than 0.5V, controlling by adopting a multi-factor fuzzy control rule; when the error is less than 0.5V, controlling by adopting a micro-deviation self-correction fuzzy control rule; quantizing the values of the initial error and initial error change rate to obtain a corresponding fuzzy grade, directly inquiring the corresponding actual control output quantity grade from a table, and calculating the first correction quantity; quantizing the values of the secondary error and secondary error change rate to obtain a corresponding fuzzy grade, obtaining fuzzy control output through secondary correction, and then obtaining fuzzy control output through (i+1)th correction; and calculating the pulse to be output by a CPU (Central Processing Unit). In the invention, the micro-deviation area self-correction fuzzy control is adopted to continuously correct the micro-deviation, the micro-deviation is reduced to a fraction after each correction, the deviation can be quickly corrected when the error is large, the deviation can be stably controlled when the error is small, and the operational speed of the CPU is high.

Description

technical field [0001] The invention relates to a control and adjustment technology, in particular to a self-correcting fuzzy control method for areas with small deviations in a coil material deviation correction and guidance control device. Background technique [0002] There are two main types of outer packaging roll material deviation correction and guidance control devices widely used in cigarette factories and packaging material factories: one is to recognize and control deviation through image recognition, for example: the products of Italian RE company and Japanese MITSUHASHI company, this deviation correction control method The effect is good, but the price is very expensive. The other is to monitor and control the offset of the coil through the photoelectric sensor, output high and low levels to the stepper motor in real time according to the different directions of the offset to control the direction of correction, and the stepper motor driver continuously outputs...

AI Technical Summary

Problems solved by technology

The price of this product is low, but there are obvious defects: since the pulse frequency is fixed, the deviation correction speed is fixed at any position in the deviation area, which makes it easy to correct too much deviation near the center line, and the Large areas cannot be corrected quickly, so it can only be used for initial deviation correction

[0004] Multi-factor fuzzy control means that in the initial stage of control, in order to quickly reduce the error, the weight of the error is larger, and the weight of the error change rate is smaller; when the error is small, the weight of the error is smaller, and the weight of the error change rate is larger, so as to maintain the stability of the system , multi-factor fuzzy control has been applied in some control fields, but the control of micro-deviation is relatively weak

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