2021
DOI: 10.30765/er.1446
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Adaptive proportional-integral fuzzy logic controller of electric motor drive

Abstract: This paper presents the indirect field vector control of induction motor (IM) which is controlled by an adaptive Proportional-Integral (PI) speed controller. The proposed solution can overcome the rotor resistance variation, which degrades the performance of speed control. To solve this drawback, an adaptive PI controller is designed with gains adaptation based on fuzzy logic in order to improve the performances of IM with respect to parameters variations, particularly the rotor resistance (Rr). The proposed c… Show more

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Cited by 6 publications
(8 citation statements)
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“…Motor drive is characterized by simple structure, cheap and convenient control, so motor is adopted as driving source. 29 , 30 Because the clutch driving mechanism is designed to convert the rotational motion of the DC motor to the linear motion of the actuator, the mode of worm gear and worm drive is employed in this paper. The transmission system of the actuator is composed of one-stage worm gear pair and two-stage planetary gear pair.…”
Section: Clutch Actuator Descriptionmentioning
confidence: 99%
“…Motor drive is characterized by simple structure, cheap and convenient control, so motor is adopted as driving source. 29 , 30 Because the clutch driving mechanism is designed to convert the rotational motion of the DC motor to the linear motion of the actuator, the mode of worm gear and worm drive is employed in this paper. The transmission system of the actuator is composed of one-stage worm gear pair and two-stage planetary gear pair.…”
Section: Clutch Actuator Descriptionmentioning
confidence: 99%
“…The compensation effectiveness of the UPQC depends on its ability to follow with a minimum error and time delay the reference signals [32]. The conventional techniques reported in literature produce poor results under distorted and/or unbalanced input/utility voltages, and they involve many calculations [20]. The proposed control scheme is a simple method to achieve effective compensation for source current harmonics, reactive power compensation and voltage harmonic mitigation under distorted and/or unbalanced input/utility voltages.…”
Section: Control Strategiesmentioning
confidence: 99%
“…Errors for each phase are discretized by the zero order hold blocks; the error rate is derivative of the error and it is obtained by the use of unit delay block; the saturation block imposes upper and lower bounds on a signal [44]. When the input signal is within the range specified by the lower and upper limit parameters, the input signal passes through unchanged otherwise the input signal is outside these bounds in this case the signal is clipped to the upper or lower bound [20]. The outputs of these fuzzy logic controllers are used in generation of pulses switching signals of the seven-level inverter.…”
Section: Logic Control and Switching Generationmentioning
confidence: 99%
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“…Some works have also considered the time-varying and parameter-varying characteristics of the feed system. [17][18][19] In particular, significant progress has been made in dealing with parameter perturbations and external disturbances of motor drive systems based on fuzzy methods, [20][21][22][23] and in recent years, more scholars have further combined this method with neural networks, and the control improvement effect is remarkable. 24,25 Furthermore, the influence of nonlinear factors of the feed system, such as clearance 26 and input saturation, 27 on the motion accuracy has also been analyzed and improved.…”
Section: Introductionmentioning
confidence: 99%