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A Soft Linen Emulsion Rate Intelligent Control System Based on the Domain Interpolation Algorithm with Self Adjusting

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A Soft Linen Emulsion Rate Intelligent Control System Based on the Domain Interpolation Algorithm with Self Adjusting JOURNAL OF SOFTWARE, VOL. 6, NO. 8, AUGUST 2011 1429 A Soft Linen Emulsion Rate Intelligent Control System Based on the Domain Interpolation Algorithm with Self Adjusting Xiao Ying Jinggangshan University / school of Electronic and Information Engineering, Ji’an, Jiangxi ,China 343009 [email protected] Peng Xuange Jinggangshan University / school of Electronic and Information Engineering, Ji’an, Jiangxi ,China 343009 [email protected] Abstract—A soft linen emulsion rate intelligent control linen and ramie is called as soft linen, including system based on the domain interpolation algorithm with mechanical soft linen, fuel, wet and storage. The purpose self adjusting is introduced. In the hemp textile industry, is to enable fiber loose, soft, surface lubrication, remove soft linen deal processes can directly affect its following some impurities and then fermented by the heap storage process. We take the lead to use the fuzzy control method to improve the fiber spin ability, then carding and applied in soft linen emulsion rate of Intelligent Control System. In the research process, the improvement of spinning can be carried out. This process quality has the product quality is not satisfied by basic fuzzy control direct impact on the following process, such as the method. By improving the algorithm, combined advanced quality of spinning and weaving. interpolation algorithm into fuzzy decision process, that The references show that the world, especially experience rule set has no restriction to access control list, Southeast Asia, in hemp textile the soft linen processes enhanced the flexibility of the method, and obtain fine are used the same fall behind technology model, that is enough fuzzy control table under the same rules. But as the injected emulsion into dry linen, the flow control process fuzzy grade classification of fuzzy control input data base on operation is completed by hand. During soft linen interpolation algorithm can be directly affect the number of processes, as the uneven control of emulsion volume, the control rules, and make more control rules, to affect the realization of deduce speed and storage process, which can emulsion rate is difficult to meet the standard, so it has not adapt the continence changing ability of soft linen direct impact on product quality and quantity. In addition, emulsion. We innovate during practice, to combine domain it will result the waste of raw materials. To change this interpolation self adjusting method with fuzzy controller backward situation, we take the lead in the fuzzy control based on intelligent algorithm, to adjust the size of actual method applied to intelligent control system of soft linen measurement and reduce fuzzy control rules, to design a emulsion rate[1]. fuzzy controller by domain interpolation algorithm with self Since L.A.Zaden proposedthe fuzzy set, based on the adjusting and achieved. After running, the system shows theory, a new science of fuzzy systems theory has that: 27% Qualified in manual; 48% Qualified by the basic formed, it has been widely used in control, signal fuzzy control system. 62% Qualified by interpolation algorithm fuzzy control system; 78% Qualified by domain processing, pattern recognition, communications and interpolation algorithm with self adjusting fuzzy control other fields. system. It proved that, the application of fuzzy control General, the core problem of fuzzy control theory is system based on domain interpolation algorithm with self how to improve Fuzzy Control about the stability and adjusting, can improve control precise which improved robustness analysis , system design methods (including production quality. rules access and optimization, and selection of membership functions), control system performance Index Terms—emulsion rate control, fuzzy control, (steady-state accuracy, jitter and saturation points, etc.), it interpolation algorithm, domain interpolation algorithm has become the basic problems in the Study of fuzzy with self adjusting controller. Among them, the stability and robustness problem researhes are the most enthusiastic, from the I. INTRODUCTION earlydescribing function analysis based on "multi-level In hemp production, as hemp fibers mixed with dust, relay"equivalent model of fuzzy controller, extended to dander, linen bone and other impurities, and become hard the phase plane method, relationship matrix analysis and brittle during dry state, it must soft first through soft method, circle criterion , L yapunov stability theory, linen machine, remove impurities, and add the super-stability theory, comparative law based on sliding appropriate amount of emulsion (also known as oil and mode controller, fuzzy point - point mapping and water). This preparation process before carding yellow numerical stability analysis and other nonlinear theory methods. Design studies have drawn greater attention, © 2011 ACADEMY PUBLISHER doi:10.4304/jsw.6.8.1429-1436 1430 JOURNAL OF SOFTWARE, VOL. 6, NO. 8, AUGUST 2011 mainly in the rules of online learning and optimization, and lower soft linen rollers rotate synchronous, to soft optimization amendments of membership function jute or ramie, there is a vent above it, at the same time parameters and others applicated with variety ideas,such drop the rolling emulsion on soft jute or ramie, to as optimal control quadratic performance index, adaptive, measure the soft linen by the quasi-emulsion ratio neural network, genetic algorithms and other ideas.The (positive). It shows in Figure 1. improvement of steady performance has been always a concern to fuzzy control scholars . Surrounding several fundamental issues above,emerges multi-variable fuzzy control [2], fuzzy neural network [3], neuro-fuzzy techniques [4], adaptive fuzzy control[5], fuzzy system identification [6] and other hot spots study fields. In the fuzzy control theory and applications, Japanese scholars have made great achievements[7], our scholars in this area have paid tireless efforts and achieved many important results. All these efforts Figure 1. System operation diagram contributed to the theory and application of fuzzy control rapid development. Figure 1 shows that the system is mainly composed of From the mid 60s 20th century, fuzzy control gradually soft linen machine detection, solenoid valves, flow developed into an attractive and fruitful research field, meters, load sensor installed in the soft linen Machine fuzzy control process is mainly to deal with the and microcontroller 89S51. There are four signal in difficulties caused by those itself due to uncertainty, control process: First, the output signal from the weight accuracy, and noise, particularly in dealing with complex load sensor which is below the transmission belt at the systems (such as large time delay, time-varying, forward and backward port of soft linen machine: VX1 nonlinear system) shows its superiority and advanced. and VX2, it is direct proportional to dry linen weight and We will introduce advanced fuzzy control methods to soft oil linen weight; second is input emulsion volume by linen emulsion rate control system. In research and flow meter; third is the valve control signal output from implementation process, in order to overcome un-ideal the controller, fourth is soft linen machine detection situation of the basic fuzzy controller, we improved the signal. The parameters of given emulsion rate input by control algorithm, using the fuzzy controller based on keyboard. Thus, the given instantaneous flow (1) and interpolation, can be get fine enough fuzzy control table. time T, the cumulative flow (2) are get from calculation. However, during the operation, the fuzzy controller based on interpolation does not have the ability to adapt to the III. SYSTEM HARDWARE CONFIGURATION continuous changing of soft linen emulsion process; the The Hardware configuration of the emulsion rate input volume fuzzy level divisions directly affect the automatic control system which core is microcontroller control rules number. To ensure the performance of soft 89S51 shown in Figure 2, including: linen emulsion rate control system, the fuzzy classification need very small, which bring more control rules to affect of the realization of deduce speed and storage process[8]. The domain controller with self-adjusting, which developed in recent years, can reduce the number of fuzzy control rules. Therefore, we innovate in practice, combine the interpolation fuzzy control method with domain fuzzy control method with self-adjusting, based on the fuzzy controller based on interpolation designed a fuzzy controller based on domain interpolation algorithm, to adjust the actual measuring size, reduce the number of fuzzy control rules, so simplifying the design process and successful applied in the soft linen emulsion rate control system while fuzzy controller can not affect the control characteristics[9]. II. SOFT LINEN PROCESS AND SYSTEM COMPONENTS Soft linen Process sequence is completed in a soft linen hydraulic machine, including the combination of soft linen roller, hydraulic control system and transmission system. The motor drive of hydraulic control system through transmission system connected the upper and lower rollers of soft linen roller combination, by reversing the hydraulic motor system so that the upper Figure 2. Hardware configuration diagram © 2011 ACADEMY PUBLISHER JOURNAL OF SOFTWARE, VOL. 6, NO. 8, AUGUST 2011 1431 A. Control section D. current control output circuit Control section part is the core of the whole control Solenoid valve is a simple
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