Affiliation:
1. Southwest State University
Abstract
Simulation of control parameters calculating process in the problem of cooling the parts surfaces machined on CNC equipment is considered in the article. A fuzzy model for determining the transmitted to the thermoelement current to control surfaces details cooling intensity proposed in the article. The fuzzy model consists of four steps. At the first step, the calculation of the degrees of the membership functions is produced. Input membership functions are having a triangular shape, and the output variable is represented by a singleton function. The second step, the degrees of the premises of the twenty-seven fuzzy rules is calculated. The third step, the eleven levels of conclusions of fuzzy rules is calculated. At the fourth step, defuzzification a crisp value from a simplified fuzzy inference is derived. After that, the scaling ratio and the output voltage level are determined. Also the condition of equality of the collector current for the calculated value is checked. If this condition is not implemented, the level of the output voltage is recalculated, until the set condition is fulfilled. The main problem in the system operation is the voltage calculation at the microcontroller output corresponding to the required current on the thermoelement with the maximum speed. To provide voltage calculating high speed in device was made on a field-programmable gate array (FPGA).Defuzzification in the fuzzy inference is based on a simplified fuzzy inference. The explaining the essence of the proposed technical solution numerical modeling is presented in the article. Timing diagrams of the cooling control device and voltage-current conversion devices in the cooling control system are presented in the article.
Publisher
Southwest State University
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference16 articles.
1. Kruglova T.N. Primenenie apparata nechetkoi logiki i neironnykh setei dlya upravleniya tekhnicheskim sostoyaniem modulei dvizheniya tekhnologicheskogo oborudovaniya // Vestnik komp'yuternykh i informatsionnykh tekhnologii. 2010. № 8. S. 28-35.
2. Simakov D.V. Primenenie sistem nechetkogo vyvoda dlya rascheta integral'nykh metrik setevykh marshrutov // Vestnik komp'yuternykh i informatsionnykh tekhnologii. 2015. № 10 (136). S. 38-43.
3. Bobyr' M.V., Kulabukhov S.A. Modelirovanie protsessa upravleniya temperaturnym rezhimom v zone rezaniya na osnove nechetkoi logiki // Problemy mashinostroeniya i nadezhnosti mashin. 2017. № 3. S. 76-82.
4. Novozhilov B.M. Vychislenie proizvodnoi analogovogo signala v programmiruemom logicheskom kontrollere // Aerokosmicheskii nauchnyi zhurnal. 2016. № 4. S. 1-12.
5. Karakuzu, C., Karakaya, F., Zavuşlu, M. A. (2016). FPGA implementation of neuro-fuzzy system with improved PSO learning // Neural Networks, 79, 128-140. URL: https://doi.org/10.1016/j.neunet.2016.02.004
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献