| Mixing is the process of additive elements are interfused and disperse into rubber, which purpose is making the additive elements' especially the carbon black dispersing well-proportioned. Nowadays, the process is mainly performed by internal mixer, and it includes putting stuff in orderly and pumping them under some criterions. The process is so complicated and multi-affected that it is hardly modeled, which restricts the operator's effective control for the rubber's quality but by experience.Several means can be used in controlling mixing, including time, temperature, energy, power and the combination of them, base on which the control system was designed in this paper, which can be used for mixing control, state detecting and display. So the system's structure and its function, hardware system's unit-choice, function and structure, software system's function and programming, the methods of anti-jamming both of hardware and software and the testing work of this system were introduced.Fuzzy control, neural network and intelligent control can be used in controlling internal mixer when mixing. The characteristic of imitating human thinking make fuzzy-control can control the mixing process, the strong modeling ability make neural network can build the model of the mixing process, and intelligent control can organize fuzzy control system and neural network so that curry out intelligent decision-making and control and achieve mixer's intelligence. So several correlative content including the fuzzy controller of intelligent system, the method of building neural network of mixing and the frame of mixer's intelligent control system is performed in this paper. |