2020
DOI: 10.18280/ejee.220304
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Adaptive Fuzzy Controller for Electric Spring

Abstract: Electric Spring (ES) provides one new solution for solving various power quality problems, which caused by intermittent and unsustainable renewable energy sources (RES). But on the user side, traditional controllers have weak robustness and adaptive capacity. For optimizing the dynamic performance of ES, this paper presents an adaptive fuzzy controller (AFC) with a regulatory factor, which makes a fuzzy controller (FC) has stronger robustness and better adaptive capacity. Through making comparison among Quasi-… Show more

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Cited by 3 publications
(2 citation statements)
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“…Then to various intelligent control methods, the control of ES gradually develops towards strong robustness, nonlinearity and intelligence. ES belongs to variable structure nonlinear systems, linear controllers often can not play a good effect, such as the PI controller can not be realized on the AC reference signal of the non-differential following, and the traditional linear controller parameter debugging time-consuming and laborious, so more and more nonlinear control theories have been utilized in the electric power springs, such as the smooth-mode control [11], fuzzy control [12], repetitive control [13], adaptive control [14], and so on.…”
Section: Introductionmentioning
confidence: 99%
“…Then to various intelligent control methods, the control of ES gradually develops towards strong robustness, nonlinearity and intelligence. ES belongs to variable structure nonlinear systems, linear controllers often can not play a good effect, such as the PI controller can not be realized on the AC reference signal of the non-differential following, and the traditional linear controller parameter debugging time-consuming and laborious, so more and more nonlinear control theories have been utilized in the electric power springs, such as the smooth-mode control [11], fuzzy control [12], repetitive control [13], adaptive control [14], and so on.…”
Section: Introductionmentioning
confidence: 99%
“…Over the years, the ES control has become increasingly robust, nonlinear, and intelligent. The control devices have evolved from the proportional-integral (PI) controller suitable for ES-1 topology [9,10], to quasi-proportional resonant (PR) controller for ES-2 topology [11], and to intelligent controllers like fuzzy controller [12]. The increase of nonlinear loads, coupled with various circuit interferences, raise stricter requirements on the normal operation of the ES.…”
Section: Introductionmentioning
confidence: 99%