| This dissertation is focused on the research of the intelligent control system of the extraction of Chinese Traditional Medicine(CTM), which includes the analysis and research of the mechanism of CTM's extraction , comparison and research of special valves and special industrial sensors used in the extraction of CTM, design of the control method and intelligent automatic equipment used in CTM's extraction.The dissertation analyzes the working principle of CTM's extraction briefly, compares various methods of CTM's extraction, analyzes and compares the special valves and special industrial sensors used in the extraction of CTM. On this foundation, the dissertation establishes the mathematics model of CTM's extraction for the simulation and control.The control method for CTM's extraction based on neural network fuzzy control is proposed. Therefore, fuzzy rule is more accurate and more appropriate by adopting automatic generation of fuzzy rule, and the self-study ability and self-adaptive ability of fuzzy rule are enhanced by applying algorithms of variable structure neural network to the adjustment of fuzzy rule. Simulation analysis results show that the control system can raise the integral performance of controller and strengthen the system's stability.On the foundation of theoretical research, the author gives a development scheme of intelligent control system of the extraction of CTM. The experimental and practical results show that the equipment can dynamically track the change of the production desire, rapidly realize the stability of the control system, and all the indexes have reached or exceeded the national criterion. At the same time the equipment effectively achieves the quality control, highly improves the efficiency of CTM's extraction.This project is funded by State Development Planning Commission, and is the Science-Tech Tackle Key Project of HaYaoCiHang Pharmaceutical Co, Ltd. The research achievements will be spread in the whole CTM's production industry. |
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