FUZZY-LOGIC CONTROLLER FOR TECHNOLOGICAL OBJECTS MANAGEMENT
Keywords:Fuzzy-logic, Fuzzy-controller, Control system
Background. Fuzzy logic provides many opportunities for application and allows you to display knowledge bases and expert systems of a new type that are able to remember and process inaccurate information. In addition, systems with fuzzy logic are applied in automatic systems for various purposes. However, the apparatus of the theory of fuzzy sets is nontrivial to implement and requires a clear understanding of the process and the correctness of setting the rules.
Objective. The aim of the paper is to analyze mathematical methods in the design and adjustment of regulators based on fuzzy logic.
Methods. The algorithm for the synthesis of the fuzzy logic controller consists of four phases: phasification, a description of fuzzy rules (through which the choice of control influence is carried out), aggregation and dephasing. The basis of the study was a gas turbine engine, which is a complex thermodynamic system. Three terms were used to describe the input and output logical variables. The input variable is the magnitude of the error between the current and the required rotational speed of the power turbine, and the output is the value of the required derivative of the turbocharger rotor speed. The result of the synthesis is a fuzzy P-regulator, defined as static with a nonlinear gain.
Results. The obtained simulation results show that the fuzzy P-controller provides an adequate margin of stability, high static accuracy and aperiodic transient process, which gives significant advantages when the gas turbine engine is operating, since the oscillatory process can lead to disruption of the rotor and its failure.Conclusions. The introduction of a fuzzy logical P-type apparatus drastically changes the transition process to aperiodic type with a smooth start. A fuzzy rule base has been compiled providing a faster system performance by 43%, increasing the static accuracy by ten times and completely eliminates overshoot. The use of fuzzy regulators leads to an increase in the quality of regulation in the conditions of the impossibility of using traditional regulators.
Yu.M. Kovrigo et al., Modern Theory of Management, part 2, Applied Aspects and Theories of Management. Kyiv, Ukraine: Іgor Sikorsky KPI, 2018.
V.I. Gostev, Synthesis of Fuzzy Regulators of Automatic Control Systems. Kyiv, Ukraine: Radioammator, 2005.
V.О. Nikifirov et al., Intellectual Management in Conditions of Uncertainty. SPb, Russia: SPbGU ITMO, 2009.
O. Cordon and F. Herrera, “A general study of genetic fuzzy systems”, in Genetic Algorithms in Engineering and Computer Science, P. Cuesta, Ed. John Wiley & Sons, 1995, pp. 33–57.
B. Kosko, “Fuzzy systems as universal approximators”, IEEE Trans. Computers, vol. 43, no. 11, pp. 1329–1333, 1994. doi: 10.1109/12.324566
I.S. Kobersi et al., “Control of the heating system with fuzzy logic”, World Appl. Sci. J., vol. 23, no. 11, pp. 1441–1447, 2013. doi: 10.5829/idosi.wasj.2013.23.11.13156
R. Goswami and D. Joshi, “Performance review of fuzzy logic based controllers employed in brushless DC motor”, Proc. Comp. Sci., vol. 132, pp. 623–631, 2018. doi: 10.1016/j.procs.2018.05.061
H. Sathishkumar and S.S. Parthasarathy, “A novel fuzzy logic controller for vector controlled induction motor drive”, Energy Procedia, vol. 138, pp. 686–691, 2017. doi: 10.1016/j.egypro.2017.10.203
Y. Krim et al., “Intelligent droop control and power management of active generator for ancillary services under grid instability using fuzzy logic technology”, Control Eng. Practice, vol. 81, pp. 215–230, 2018. doi: 10.1016/j.conengprac.2018.09.013
O. Shtifzon et al., “Development of the adaptive fuzzy-logic device for control system in conditions of parametric non-stationary plant”, Eastern-European Journal of Enterprise Technologies, vol. 1, no. 2, pp. 30–37, 2018. doi: 10.15587/1729-4061.2018.121749
Copyright (c) 2019 The Author(s)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under CC BY 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work