| Along with the development of the science and technology, controlled object becomes more complicated in real industry process, modeling and control of complex system are the main research content of control theory and control engineer, which are the tremendous power that impel automation of industry process. Modeling of mechanism for the chemical process with nonlinear, strong jamming, long delay and complexity, which ignores many factors, can't get accurate models. Therefore, that's difficult for the control algorithm to get satisfactory effect, which based on mathematics model. For the kind of chemical reaction, adopting advanced control algorithms, such as nerve network and fuzzy control, can get better control effect.This paper has researched control strategies of a kind of complex system, which takes the recovery system of ketone-benzol-dewaxing process as an example. The recovery system of ketone-benzol-dewaxing process is an important part in chemical industry and also a very complicated system. It contains a lot of devices, which have relevance each other. Besides, control the temperature of glory-hole is also a difficult point in chemical industry domain. Therefore, it is very significant to design proper control strategies for the kind of complex system.This paper adopts two control strategies according to this kind of system. One the one hand, an equalization control strategy is proposed in order to solve the feeding fluctuation that as a result of the interaction between the former equipment and the latter one. One the other hand, a combined intelligent control algorithm is designed, which has combined the virtues of traditional control and fuzzy control, according to temperature control of furnace. It indicates that the combined intelligent control has better control effect than the pure PID control and fuzzy control by the simulink experiments. At last, the real control effect meets the company's requirement and then approves the available of the algorithm. |
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