由於和的存在，從而推斷in（19）可以在有限時間內收斂到平衡點。然後系

由於和的存在，從而推斷in（19）可以在有限時間內收斂到平衡點。然後系統狀態（3）在有限時間內收斂到平衡點。然而，在可再生能源系統設計中，NFTCSMC存在抖振或穩態誤差。這是因為負載是可變的，所以一旦負載是高度不確定的情况，系統（3）將不能提供精確的跟踪效能，即可再生能源系統的輸出電壓不完全等於期望的正弦波形。囙此，通過添加（20）-（24）中表示的FPNN方法來修改控制訊號（15），該方法抑制可再生能源系統中的抖振。囙此，找出（15）中NTSMC參數的最佳值對於保持DC-AC變換器良好的效能是非常重要的。為了避免繁瑣、費時的試錯計算，獲得全域最優解，採用BPSO方法求出NTSMC參數的最優值。最後，將（3）中的DC-AC變換器與BPSO方法和NTSMC相結合，使其漸近穩定，從而使跟踪誤差在有限時間內收斂到零

結果 (英文) 1:

Due to the presence of and to deduce in (19) can converge to the equilibrium point in a finite time. Then the system state (3) converges to the equilibrium point in a finite time. However, the renewable energy system design, NFTCSMC buffeting or steady state error exists. This is because the load is variable, where once the load is highly uncertain, the system (3) will not provide accurate tracking performance, the output voltage of renewable energy systems can not exactly equal to the desired sine waveform. Yin this by adding (20) - (24) FPNN method to modify the control signal indicates (15), the method inhibits buffeting of renewable energy systems.
Yin this find (15) the best value for the good performance of DC-AC converter is a very important parameter in NTSMC. In order to avoid tedious, time-consuming trial and error calculations, the global optimal solution, optimal values obtained using the parameter BPSO NTSMC method. Finally, the DC-AC converter and a method and BPSO NTSMC (3) in combination, it is asymptotically stable, so that the tracking error converges to zero in a finite time

結果 (英文) 2:

Because of the existence of the sum, it is inferred that in (19) can converge to the equilibrium point for a limited time. The system state (3) then converges to the equilibrium point for a limited time. However, in the design of renewable energy systems, NFTCSMC has vibration or steady state error. This is because the load is variable, so once the load is highly uncertain, the system (3) will not be able to provide accurate tracking performance, i.e. the output voltage of the renewable energy system is not exactly equal to the desired sine waveform. The control signal (15) is modified by adding the FPNN method (20) - (24), which inhibits vibration in the renewable energy system.
This is very important to find out the best value of ntSMC parameters in (15) to maintain the good performance of the DC-AC converter. In order to avoid tedious and time-consuming trial and error calculations, the global optimal solution is obtained, and the optimal value of NTSMC parameters is obtained by the BPSO method. Finally, the DC-AC converter in (3) is combined with the BPSO method and NTSMC to stabilize it, so that the tracking error converges to zero in a limited time

結果 (英文) 3:

From the existence of sum, it is inferred that in (19) can converge to the equilibrium point in a finite time. Then the system state (3) converges to the equilibrium point in finite time. However, in the design of renewable energy system, nftcsmc has chattering or steady-state error. This is because the load is variable, so once the load is highly uncertain, the system (3) will not provide accurate tracking performance, that is, the output voltage of the renewable energy system is not completely equal to the desired sine wave. Therefore, the control signal (15) is modified by adding the FPNN method indicated in (20) - (24), which can suppress chattering in the renewable energy system.
Therefore, it is very important to find out the best ntsmc parameter in (15) to maintain the good performance of DC-AC converter. In order to avoid tedious and time-consuming trial and error calculation and obtain the global optimal solution, the optimal value of ntsmc parameters is obtained by BPSO method. Finally, the DC-AC converter in (3) is combined with BPSO method and ntsmc to make it asymptotically stable, so that the tracking error converges to zero in finite time