Development of adaptive fuzzy-logic device for control under conditions of parametric non-stationarity
DOI:
https://doi.org/10.15587/1729-4061.2018.121749Keywords:
fuzzy logic, non-stationarity, adaptive system, stability factor, control system, robustnessAbstract
We studied an automatic control system with the fuzzy adaptive device for setting parameters of the PI-controller under conditions of non-stationarity of parameters of the control object’s model. The relevance of present research is in the application of more complex control structures, when it is necessary to achieve small deviations in quality control parameters under conditions of change in the parameters of control model. In contrast to the common circuit when the fuzzy controller is directly included into the main control channel, in the present article we consider a circuit with the fuzzy controller as a unit of adaptation of PI-controller’s parameters. Coefficients of the standard controller are adjusted to the changes of object in real time on the basis of rule base for the fuzzy adaptive device and two input signals: an inconsistency signal and derivative from the inconsistency signal. Mathematical modeling of the designed system was performed.
We compared a single-circuit system at constant settings of the controller and the adaptive system for different states of an object that are determined by variable parameters of its model. Parameters of operation quality of both systems were calculated. Application of the fuzzy adaptive device warrants the required stability factor. In this case, high quality of operation of an automatic control system under conditions of parametric non-stationarity of the studied object was preserved.
References
- O’Dwyer, A. (2009). Handbook of PI and PID controller tuning rules. 3rd ed. Ireland: Dublin Institute of Technology, 624.
- Kovrigo, Y. M., Bagan, T. G., Bunke, A. S. (2014). Securing robust control in systems for closed-loop control of inertial thermal power facilities. Thermal Engineering, 61 (3), 183–188. doi: 10.1134/s0040601514030057
- Kovrigo, Yu. M., Bunke, A. S., Novikov, P. V. (2016). Dynamic correction application in control systems of inertial technological objects. ScienceRise, 1 (2 (18)), 21–27. doi: 10.15587/2313-8416.2016.58815
- Bobtsov, А. А., Kolubin, S. А., Nikiforov, V. О., Pyrkin, А. А. (2010). Adaptive and hybrid control with compensation of disturbances and lag. XXXIX scientific and educational-methodical conference of SPbSU ITMO.
- Nikifirov, V. О., Slita, O. V., Ushakov, A. V. (2009). Intellectual management in conditions of uncertainty. Sankt-Peterburg: SPbGU ITMO, 232.
- Kovrigo, Y. M., Konovalov, M. A., Bunke, A. S. (2012). Modernizing the heat load control system of a once-through boiler unit at a thermal power station using a dynamic corrector. Thermal Engineering, 59 (10), 772–778. doi: 10.1134/s0040601512100072
- Almasani, S. A. M., Qaid, W. A. A., Khalid, A., Alqubati, I. A. A. (2015). Fuzzy Expert Systems to Control the Heating, Ventilating and Air Conditioning (HVAC) Systems. International Journal of Engineering Research Technology (IJERT), 4 (8), 808–815.
- Kobersi, I. S., Finaev, V., Almasani, S. A., Wadii, K., Abdo, A. (2013). Control of the Heating System with Fuzzy Logic. World Applied Sciences Journal, 23 (11), 1441–1447.
- Denisenko, V. V. (2007). PID–regulators: principles of construction and modification. Part 2. Modern automation technologies, 1, 78–88.
- Shtifzon, О. I., Babych, A. S. (2014). Using fuzzy logic algorithms to control an object with parametric variability. Material for the 10-th international scientific practical conference, "Nainovitne nauchni comprehension", 34, 46–52.
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Copyright (c) 2018 Oleg Shtifzon, Pavlo Novikov, Taras Bahan
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