2015
DOI: 10.1016/j.epsr.2015.07.016
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A sliding-mode voltage regulator for salient pole synchronous generator

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Cited by 26 publications
(10 citation statements)
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References 28 publications
(26 reference statements)
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“…is a transfer function in rational form, r is the order of desired CLTF, the time constant  is the tuning parameter for AVR system. (15) The Eqns. (9), (14) and 15 The PID controller gain will be obtained by solving the Eq.…”
Section: A Pid Controller Design Methodmentioning
confidence: 99%
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“…is a transfer function in rational form, r is the order of desired CLTF, the time constant  is the tuning parameter for AVR system. (15) The Eqns. (9), (14) and 15 The PID controller gain will be obtained by solving the Eq.…”
Section: A Pid Controller Design Methodmentioning
confidence: 99%
“…Day-by-day complexity in power system is increasing, so that terminal voltage of an alternator along with reactive power is varying rapidly and sometimes it become unstable. A lots of controller has been proposed for AVR system via different control approach like fractional order (FO) PID (FOPID) [2][3][4][5][6][7], PIDA [8][9][10], direct synthesis (DS) technique [11], Fuzzy logic controller (FLC) [12][13][14], sliding mode control [15], artificial intelligence technique [16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
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“…Ribeiro et al propose an SM-PI controller based on sliding-mode control and PI control hybridization to adjust the output terminal voltage of a synchronous generator connected to the power grid. They show that the proposed SM-PI controller effectively suppresses voltage oscillations, preventing instability in the system [20]. Aribowo introduce a Focused Time Delay Neural Network controller method for the AVR system.…”
Section: Introductionmentioning
confidence: 99%
“…Considerable efforts have been placed on the CBE system to improve the dynamic performances of SG. Voltage regulation with advanced digital controllers, sliding mode control, fuzzy logic controllers, H ∞ controllers, and neural network controllers achieves good performance and improves the transient stability of the closed loop system [10][11][12][13][14]. However, these advanced controllers have a minor effect in reducing the voltage overshoot and the response time during a load rejection.…”
Section: Introductionmentioning
confidence: 99%