Intelligent control based on case-based reasoning for outlet tobacco moisture percentage of loosening resurgence machine

摘要

Tobacco loosening and resurgence process has strong nonlinearity and large delay-time ratio, and it is difficult to describe the process via accurate mathematical models. Thus, it is difficult to control the outlet tobacco moisture percentage (OTMP) for loosening and resurgence machine by operators. To solve these problems, combining the expert knowledge and operation experience, an intelligent control method based on case-based reasoning (CBR) is presented for loosening and resurgence machine. The intelligent control method is applied in certain cigarette plant which shows that the OTMP is controlled in the scope of target value and water consumption is reduced.