2017
DOI: 10.4316/aece.2017.01012
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Proportional-Integral-Resonant AC Current Controller

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Cited by 9 publications
(14 citation statements)
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“…Therefore, modification in procedures are shifting toward the soft computing method. There are a lot of soft computing techniques used to tune the gains and time constant of the PI or PID controller (Stojic et al, 2017). Some examples are simplex algorithm (Gole et al, 2003;Zhao et al, 2007), linear programing based tuning (Oliveira et al, 2014), Modified Genetic Algorithm (Y. P. Wang et al, 2002), offline tuning of discrete-time fractional-order to minimize the cost function (Merrikh-Bayat et al, 2015), Hybrid PID-Artificial Neural Network (ANN) controller to control PWM signal for DC to DC conversion (Muruganandam and Madheswaran, 2013), fuzzy logic algorithm (Sahin and Altas, 2017;Ilyas et al, 2013;Kassem, 2013), State Transition Algorithm (STA) (Saravanakumar et al, 2015), Particle Swarm Optimization (PSO) (Aazim et al, 2017;Rajagopal and Ponnusamy, 2014), etc.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, modification in procedures are shifting toward the soft computing method. There are a lot of soft computing techniques used to tune the gains and time constant of the PI or PID controller (Stojic et al, 2017). Some examples are simplex algorithm (Gole et al, 2003;Zhao et al, 2007), linear programing based tuning (Oliveira et al, 2014), Modified Genetic Algorithm (Y. P. Wang et al, 2002), offline tuning of discrete-time fractional-order to minimize the cost function (Merrikh-Bayat et al, 2015), Hybrid PID-Artificial Neural Network (ANN) controller to control PWM signal for DC to DC conversion (Muruganandam and Madheswaran, 2013), fuzzy logic algorithm (Sahin and Altas, 2017;Ilyas et al, 2013;Kassem, 2013), State Transition Algorithm (STA) (Saravanakumar et al, 2015), Particle Swarm Optimization (PSO) (Aazim et al, 2017;Rajagopal and Ponnusamy, 2014), etc.…”
Section: Introductionmentioning
confidence: 99%
“…The controllers are proportionalintegral-resonant (PIR), which are able to follow the dc and ac references. The model and tuning of these controllers are based on the strategy proposed in [40]. The PIR transfer function is:…”
Section: Current Controlmentioning
confidence: 99%
“…In this case, the cross products of ac components have a non-null average value. Expression (40) allows to control the W ∆T energy using either I AC 1 , I AC 3 or any I DC 123 currents, but the I AC 1 current is used in this paper. Applying the same process used to obtain (38), the expression (43) is obtained.…”
mentioning
confidence: 99%
“…In this, the current from source and point of common coupling (pcc) should follow each and are to be in phase with each other. The P-Q, SRF, and UPF methods are used in perfect harmonic compensation method 9 for compensating the harmonic currents eliminating the unbalance condition. SAF controlled by linear Quadratic Regulator 7 -based switching controller was developed for harmonic mitigation also provides solution for parallel resonance problem.…”
Section: Introductionmentioning
confidence: 99%
“…This multilevel SAF is controlled by fuzzy to improve the voltage behaviors of the floating capacitors at dynamic and steady state. Reduced Order Generalized Integrator (ROGI), 10 FLC, 11 and PR-Proportional Resonant Controller 9 are the proposed control techniques used in Space vector modulation (SVM) technique. ROGI controller 10 computations are less by 50% than the second order generalized integrator 12 and can be applied under stationary reference frame without transformation to rotational coordinate system.…”
Section: Introductionmentioning
confidence: 99%