This paper develops a fuzzy logic controller (FLC) for the temperature. Temperature is a very popular parameter in industry, which leads an important role in industry process control. There is nonlinearity, time lag, inertia, uncertainty and so on .The advantage of this method is that the proposed FLC has the characteristics of robustness. In order to control systems that contain nonlinearities or uncertainties, control strategies must deal with the effects of these. With the development of intelligent control, Fuzzy-PID control based on Fuzzy control develops more and more popular and makes a great process in temperature control. The whole resistance furnace temperature control system design is based on PLC which Rockwell laboratory supplies and related software and hardware.
The paper deals with the monitoring system based on Zigbee wireless sensor network technique in details. The system adopts single-chipped microprocessor ZIC2410 radio frequency chip. By the upper computer software and programs of various physiological data acquisition, the physiological data of warded people, such as the pulse, blood pressure, blood oxygen saturation and electrocardiogram, are gathered by the PC software in real time, and then the collected data are transmitted to the remote medical monitoring center through the wireless sensor network. The data information of each node, including the location and health status of the warded people, can be displayed by the monitoring center software. It makes timely and effective medical guidance possible.
The paper develops a fuzzy logic controller (FLC) for the switched reluctance motor (SRM).The SRM is nonlinearity, time lag, inertia, uncertainty and so on .So the SRM is not use the general feedback theory or the conventional PID controller . So that , fuzzy logic controller (FLC) is a good way . The advantage of this method is that the proposed FLC has the characteristics of robustness. Fuzzy-PID control has better adaptability and stability, less overshoot, faster response and higher precision than PID-control and general feedback theory. Fuzzy-PID is adopted to control for switched reluctance motor to obtain a high performance.
Different kinds of three-dimensional fluorescence spectra of oils have a large degree of overlap. The tradition based on the apparent characteristics of statistical features can only reflect the general characteristics of three-dimensional fluorescence spectra of simple components, or a single fluorescence peak sample differential case is practical, to complex water environment pollution in mineral oil identification has great limitations. The paper use independent component analysis(ICA) algorithm for mineral oil spectral compression dimensionality reduction, feature extraction, extraction of more deep, more elaborate characteristic parameters, and the concentration of information together with the physical significance of the oil pollution of three-dimensional fluorescence spectra characteristic sequence or vector. The mapping relation was obtained by the WNN between the singular value eigenvector and the species of the mineral oil. The WNN realized the recognition of the different kinds of mineral oil. The experiment result indicates that the right of the distinguish rate is 90%.
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