Sensorless Control of a Synchronous Motor Based on Fuzzy Logic

The possibility of replacing the classic PI controller with a fuzzy controller for the existing system of automatic control of the rotor speed of a permanent magnet synchronous motor without a position sensor is considered. The use of PI rotor speed controllers for a permanent magnet synchronous mot...

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Bibliographic Details
Published inRussian electrical engineering Vol. 94; no. 11; pp. 814 - 819
Main Authors Khizhnyakov, Yu. N., Yuzhakov, A. A., Storozhev, S. A., Nikulin, V. S.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.11.2023
Springer Nature B.V
Subjects
Automatic control
Controllers
Engineering
Fuzzy control
Fuzzy logic
Fuzzy systems
Inductance
Machines
Manufacturing
Parameter sensitivity
Permanent magnets
Position sensing
Processes
Rotor speed
Synchronous motors
synchronous motor with permanent magnets
sensorless control
fuzzy controller
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Summary:The possibility of replacing the classic PI controller with a fuzzy controller for the existing system of automatic control of the rotor speed of a permanent magnet synchronous motor without a position sensor is considered. The use of PI rotor speed controllers for a permanent magnet synchronous motor has several disadvantages that should be taken into account when designing and operating such systems. Such controllers require careful adjustment of the coefficients to achieve the desired performance, they may be sensitive to changes in system parameters such as winding resistance or inductance, and they may have limited ability to respond to rapid and large load changes. The use of a fuzzy controller eliminates a number of disadvantages of the PI controller. The architecture of the proposed fuzzy controller is standard: a fuzzifier, a block of rules, and a defuzzifier. The fuzzy controller is of the Sugeno–Takagi type. The fuzzifier is based on triangular term sets, defuzzification is performed using the weighted average method. The number of fuzzy controller parameters has been optimized. The simulation was performed in the MATLAB/Simulink package, taking into account the changing load on the motor and changing motor parameters. The results obtained confirm the possibility and feasibility of replacing the PI controller with a fuzzy controller.
ISSN:1068-3712
1934-8010
DOI:10.3103/S1068371223110044