Model prediction based cut tobacco dryer outlet moisture control method

Abstract

The invention discloses a model prediction based cut tobacco dryer outlet moisture control method. Aiming at characteristics of complicated state changes of a cut tobacco dryer during working and diversity of production process modes, an intelligent integrated optimizing control system for the cut tobacco dryer based on an intelligent prediction model and an artificial intelligent operating mode is constructed so as to achieve comprehensive optimization and automation during cut tobacco drying. Aiming at different stages and different production process modes in production, a model capable of describing dynamic process characteristics depending on feed quantity and feed moisture is constructed. On the basis of the model, an on-line optimizing control algorithm which is capable of simultaneously or selectively adjusting multiple process variables, adapting to changes of the feed quantity and the feed moisture and overcoming mutual interference among the variables and influences of various uncertainties during cut tobacco drying and has self-adaptive and self-adjustment functions is designed, and strict requirements on outlet cut tobacco moisture in different working conditions can be met.

Description

technical field [0001] The invention relates to an automatic control technology of outlet moisture of a silk drying machine and a realization method thereof. Background technique [0002] The tobacco leaves of the silk thread in the cigarette factory go through the leaf pretreatment process and then enter the drying process. One of the main purposes of the drying process is to control the moisture content of the cut tobacco at the outlet of the drying drum. The drying drum uses saturated steam and hot air to heat the cut tobacco. The moisture in the shredded tobacco evaporates, and at the same time, the moisture evaporated from the shredded tobacco is taken away by the hot air, so as to achieve the purpose of controlling the moisture in the shredded tobacco. [0003] The current silk drying moisture control adopts a simple PID algorithm and some sequential logic for control. Each control loop is relatively independent and has poor coordination, making it difficult to achieve...

AI Technical Summary

Problems solved by technology

[0003] The current silk drying moisture control adopts a simple PID algorithm and some sequential logic for control. Each control loop is relatively independent and has poor coordination, making it difficult to achieve true closed-loop automatic control.

Since there are many interference factors affecting the outlet moisture of shredded tobacco during the drying process, such as: feed shredded tobacco moisture, feed shredded tobacco flow rate, steam pressure, moisture discharge, hot air temperature, wind speed, etc., and there is a strong nonlinearity in the control process , uncertainty, coupling and hysteresis, the main problem is that there will be relatively large fluctuations in moisture control at the head and tail of the cut tobacco, and the quality of the control is related to the experience, quality and sense of responsibility of the operator; The impact of interference is large, the adjustment time is long, the control fluctuation is large, and manual intervention is required. Such a moisture control system is difficult to ensure high control accuracy and control stability. At the same time, it is difficult to improve and maintain the system.

Fluctuation of outlet moisture affects the intrinsic quality of cut tobacco and reduces the quality of cut tobacco as a whole

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