Improvement of functional subsystems of paper production management based on a coordinating fuzzy controller and cross-correlation meters

Existing control systems for the paper web formation process with mass and pressure level regulators in the inlet device do not provide the desired quality indicators. At the same time, the use of high-precision and noise-proof control algorithms based on extreme and predictive controllers reduces the performance of systems. Thus, further improvement of the efficiency of the control system for the paper web formation process is possible within the framework of APC control and fuzzy logic. The introduction of cross-correlation optical speed calculators into the system will allow generating data on the main parameters of the paper mass flow at the moments when the web is formed on the machine grid, which is necessary and sufficient for implementing a speed ratio controller in extreme control systems that increases their speed. To replace the cascade connection of regulators in the control systems for the process of forming a paper web, it is proposed to use a coordinating fuzzy controller and fuzzy control methods that allow “decoupling” the output signals from the extreme controller, speed ratio and total pressure regulators designed for a single actuator – the compressor. Thus, the use of an additional speed ratio stabilization loop and coordinating fuzzy control increased the speed of paper web formation control systems by 59.4% in comparison with extreme regulators and allowed reducing the dispersion of paper web weight by 1.4%, which is confirmed by the implementation certificates at the MAYAK enterprise.

1. Lysova N.V., Mjasnikova N.V. Paper web weight control based on the extreme filtering method for real-time systems using frame-by-frame signal processing. Engineering journal of Don. 2019;5(56). Available at: http://ivdon.ru/ru/magazine/archive/n5y2019/5882 (In Russ) (accessed: 01.10.2020).

2. Tarasov S.M., Azarov V.I., Koverninskij I.N. Current trends in the development of paper and cardboard production technology. Forestry Bulletin. 2003;5(30):89-92. (In Russ)

3. Pronina E.V. Ways to improve the design of the main components of paper machines. Izvestiya Tul'skogo gosudarstvennogo universiteta. Tekhnicheskie nauki. 2018;2(46):322-331. (In Russ)

4. Fleisher V.L., Chernaya N.V., Bogdanovich N.I. Reduction of energy consumption of paper and cardboard machines in production of glued paper and cardboard. Izvestiya VUZov. Lesnoj zhurnal. 2019;5(371):188-193.

5. Semenov A.D., Avdeeva O.V., Nikitkin A.S. The algorithm of extreme regulation based on the recurrent procedure of the least squares method. Izvestija vysshih uchebnyh zavedenij. Povolzhskij region. Tehnicheskie nauki. 2012;1(21):3-12. (In Russ)

6. Avdeeva O.V., Artamonov D.V., Nikulin S.V., Semenov A.D. Extreme control of an inertial object with a delay in conditions of strong interference. Izvestija vysshih uchebnyh zavedenij. Povolzhskij region. Tehnicheskie nauki. 2014;3(31):54-64. (In Russ)

7. Revunov M.S., Semenov A.D., Nikulin S.V. Fuzzy extremal regulatory system with multidimensional input. IOP Conference Series: Materials Science and Engineering (ICMTMTE 2019). 2020;709.

8. Cherneckaya I.V., Cherneckij V.O. Fuzzy controllers in automatic control systems. Vestnik YUzhno-Ural'skogo gosudarstvennogo universiteta. Seriya: Komp'yuternye tekhnologii, upravlenie, radioelektronika. 2006;2(107):156-159. (In Russ)

9. Revunov M.S. Improvement of systems of stabilization of parameters of the flow of paper pulp using a cross-correlation algorithm. Measuring. Monitoring. Management. Control. 2018;4(26):24-31. (In Russ)

10. Andreev D.A., Panfilov A.N., Skoba A.N. Managing the operational processes of operators of complex systems. Engineering journal of Don. 2017;3(47). Available at: http://ivdon.ru/ru/magazine/archive/N3y2017/4322/ (In Russ) (accessed: 02.10.2020).