Temperature Control Of Hot Air Reflow Machine Soft Computing Modeling And System Design

The sirocco-circumfluence reflow soldering machine is one of the soldering devices which are used widely in surface mount technology.It is reported that the use of surface mount components or devices which is sixty percent has increase by ninety percent until 2010. The market is very potential.And in this control system the temperature exactness and stabilization is the key of good technics.On the base of primary sirocco-circumfluence reflow soldering system,this dissertation designs a set of monitoring control system with miro controller unit which has high speed and integration.The control syetem embeds hardware design and the relevant software design that can implement more complex algorithm.It is reassuring, compatible, convenient, multi-function and simple.At the same time, the present control mode of intelligent PID plus feedforward can not keep temperature from falling and rising when heavy load passes. In order to solve the problem,a static calorifics model of the system is built ,and every factors that consume the energy are analysed aboratively.The result shows that two coercive fans consume over eighty percent quantity of heat and printed circuit board, entironment temperature,chain speed are in the next place.Soft computing method is adopted to describe the heat consumption better.In adaptive neuro-fuzzy inference system, a dynamic calorifics model with three inputs and one output is completed to compute the consume quantity of heat.The model takes printed circuit board, entironment temperature,chain speed as inputs and consume quantity of heat as output. Self-teaching ability of neural network can optimize the model parameters and find appropriate parameters at the end.The simulation result has proved the model to be effective.