2018
DOI: 10.1109/access.2018.2850453
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Lyapunov Based Fast Terminal Sliding Mode Q-V Control of Grid Connected Hybrid Solar PV and Wind System

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Cited by 27 publications
(17 citation statements)
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“…Similarly, the power loss while the switch is turning off can be determined using (17) The total loss per switching state will be the sum of (16) and (17). Here f s is the switching frequency of the switch, V swb is the blocking voltage across the switch, I swc is the conduction current through the switch, t on and t off are the time required for the switch to turn ON and turn off respectively.…”
Section: ) Switching Lossmentioning
confidence: 99%
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“…Similarly, the power loss while the switch is turning off can be determined using (17) The total loss per switching state will be the sum of (16) and (17). Here f s is the switching frequency of the switch, V swb is the blocking voltage across the switch, I swc is the conduction current through the switch, t on and t off are the time required for the switch to turn ON and turn off respectively.…”
Section: ) Switching Lossmentioning
confidence: 99%
“…The dynamic performance of MLI with a control loop has been investigated by different authors. A Lyapunov based fast terminal sliding mode Q-V control for grid coupled hybrid solar PV and wind system is presented in [17], and this nonlinear control algorithm provides faster error tracking capability and robustness, but it lacks anti-inference ability. In [18], a fast and fixed switching frequency finite control setmodel predictive control algorithm with delay compensation is employed in a two-level voltage source inverter-based distributed generation system, but the multiple switching frequencies result in a sluggish response.…”
Section: Introductionmentioning
confidence: 99%
“…Theorem 1. Considering the uncertain non-linear system (14), by applying fast disturbance observer (18)- (20), the disturbance approximation error (22) converges to zero in the finite time.…”
Section: = − (18)mentioning
confidence: 99%
“…The third model for SR introduced in the synchronous rotational reference frame (dq), to avoid using PR controller. Because of working with DC values, this is a popular controller for SR [7][8][9][10][11][12][13][14][15][16][17], modeling and control of power converters in microgrids have been investigated in [7], and a droop control technique is proposed for active power flow control of converters based on multiple PI controller loops in dq frame. A combination of fuzzy-model-based control and adaptive sliding mode technique has been proposed for the uncertain estimation of a three-phase AC/DC converter in [8].…”
Section: Introductionmentioning
confidence: 99%
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