在即將到來的人工智能時代，BPSO方法因其簡單，快速執行和高質量而被廣

在即將到來的人工智能時代，BPSO方法因其簡單，快速執行和高質量而被廣泛用於解決優化問題。解決方案[39–43]。因此，BPSO用於尋找NTSMC參數的最佳值，從而顯著提高了控制性能，避免了繁瑣的試錯調整。與沒有在經典終端滑模或SMC中添加最佳方法相反，此改進的技術提供了另一種選擇和可能的建議。儘管改進後的系統的最終性能結果並不比先前工作的最新THD結果更好，但它確實改進了TSMC方法並為確定控制器參數提供了系統的最佳調整。可能會注意到，NTSMC和BPSO的建議組合導致了閉環反饋DC-AC轉換器系統，該系統在穩態負載下具有低THD，在瞬態負載下具有快速響應。最後，通過基於數字信號處理（DSP）的DC-AC轉換器系統的實施驗證了改進技術的有效性，並且還使用MATLAB / Simulink軟件對改進的系統進行了評估。

結果 (英文) 1:

In the coming era of artificial intelligence, BPSO method because of its simple, quick execution and high quality are widely used to solve optimization problems.
Solution [39-43]. Thus, to find the best values for the BPSO NTSMC parameters, thereby significantly improving the performance control, to avoid the tedious trial and error adjustments. In contrast to the preferred method of adding or not sliding mode terminal SMC in classical, this improved technique provides an alternative and possible recommendations. Although the final results of the latest better THD performance results do not improve the system after previous work, but it did improve TSMC provides the best adjustment methods and systems for determining the controller parameters. May be noted, the proposed combination resulted in BPSO NTSMC and DC-AC converter closed-loop feedback system, the system having a low THD at steady state load, has a fast response during transient loading. Finally, based on the implementation of digital signal processing (DSP) of the DC-AC converter system demonstrate the effectiveness of the improved technique, and also using MATLAB / Simulink software for improved systems were evaluated.

結果 (英文) 2:

In the coming era of artificial intelligence, the BPSO approach is widely used to solve optimization problems because of its simplicity, fast execution and high quality.
Solutions . . . . . . . . . . . . . . As a result, BPSO is used to find the best value for NTSMC parameters, which significantly improves control performance and avoids cumbersome trial and error adjustments. Instead of adding the best approach to classic terminal slipors or SMc, this improved technology provides another option and possible recommendations. Although the final performance results of the improved system are no better than the latest THD results for the previous work, it does improve the TSMC method and provides the best adjustment for the system to determine the controller parameters. It may be noted that the proposed combination of NTSMC and BPSO results in a dead-loop feedback DC-AC converter system with low THD under steady-state loads and rapid response under transient loads. Finally, the effectiveness of the improved technology is verified by the implementation of the DC-AC converter system based on digital signal processing (DSP), and the improved system is evaluated using MATLAB/Simulink software.

結果 (英文) 3:

In the coming era of artificial intelligence, BPSO is widely used to solve optimization problems because of its simplicity, fast execution and high quality.
Solutions [39 – 43]. Therefore, BPSO is used to find the best value of ntsmc parameters, which can significantly improve the control performance and avoid tedious trial and error adjustment. Instead of adding the best method to the classic terminal sliding mode or SMC, this improved technology provides another choice and possible suggestions. Although the final performance of the improved system is not better than the latest thd results, it does improve the TSMC method and provide the best adjustment for determining the controller parameters. It may be noted that the proposed combination of ntsmc and BPSO results in a closed-loop feedback DC-AC converter system with low THD under steady-state load and fast response under transient load. Finally, the effectiveness of the improved technology is verified by the implementation of DC-AC converter system based on DSP, and the improved system is evaluated by Matlab / Simulink software.