2013
DOI: 10.1007/s11431-013-5153-1
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A modified predictive control strategy of three-phase grid-connected converters with optimized action time sequence

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Cited by 8 publications
(5 citation statements)
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“…Currently, multi-objective control problems of complex nonlinear system in automotive research are widely solved using model predictive control (MPC) [26][27][28], because of its online prediction [29], rolling in real-time optimization [30,31] and before and after feedback correction [32,33].…”
Section: Figure 2 Failure Of Metal Belt and Metal Sheetmentioning
confidence: 99%
“…Currently, multi-objective control problems of complex nonlinear system in automotive research are widely solved using model predictive control (MPC) [26][27][28], because of its online prediction [29], rolling in real-time optimization [30,31] and before and after feedback correction [32,33].…”
Section: Figure 2 Failure Of Metal Belt and Metal Sheetmentioning
confidence: 99%
“…From Figure 3, α u , β u do not interfere with each other,P-R current controller can achieve static error-free output, and α i ∆ , β i ∆ ripple wave are reduced, this is what PI current controller can not achieve [6,7] .…”
Section: Proportion-resonant Current Controllermentioning
confidence: 99%
“…This item should be taken into consideration when the algorithm is implemented. Recently, this has been paid special attention to, and several improved versions of this control methodology have been proposed [4,[28][29][30][31][32]. In [4], a generalized predictive direct power control strategy was proposed.…”
Section: Introductionmentioning
confidence: 99%
“…Even though a corresponding simplified scheme was further proposed, the cost function still needs to be calculated six times within each sampling period [19]. In [30], the calculated values of the predicted application time are firstly examined. Whenever the application time is less than zero, the optimal voltage vector sequences were to be modified according to a pre-defined switching table.…”
Section: Introductionmentioning
confidence: 99%
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