比例積分微分(PID)控制器已被廣泛應用於交換式電源供應器控
制，而控制器的參數對控制器的性能表現有很大的影響，儘管已經有
簡單且被廣泛應用的控制器參數調整法，但有效的參數調整方法一直
是業界應用時的重要議題。
本文呈現粒子群最佳化(PSO)調整PID 控制器參數之技術，粒子
群演算法用來取得電壓控制模式同步整流返馳式轉換器之最佳PID
控制器參數。首先利用Simulink 建立模擬電路模型，再透過粒子群演
算法來決定模型之控制器參數。經模擬及最佳化後之PID 控制器利用
微處理器TMS320F28335 來實現，其表現將根據輸出電壓及輸入電壓
的變動量來探討，最佳化參數之控制器表現性能並與一般控制器調整
方法比較。根據實驗結果顯示，相較於Z-N 調整法和頻域補償調整
法，本文所使用的調整技術在安定時間方面可分別改善61.8%和
71.83%，在最大超越量部分可分別改善87.6%和68.9%。

Proportional-integral-derivative (PID) controllers have been widely
used in many applications including switching power supplies. Despite the
simplicity and wide usage of these controllers, tuning of these controller
parameters remains one of the major problem in the research field since
these parameters have a great influence on the controller’s performance.
In this thesis, a particle swarm optimization (PSO)-based parameter
tuning approach is presented. The PSO algorithm was used to obtain
optimal PID controller parameters for a voltage mode synchronous flyback
converter. Firstly, the simulation model of the converter was constructed
using Simulink and the controller parameters were optimized via PSO
algorithm. Following the simulation and optimization, the obtained
controller was implemented utilizing a digital controller TMS320F28335,
and the performance of the controller was analyzed according to output
voltage regulation under load and input voltage variations. The
performance of the optimized controller was then compared with the
classical parameter tuning method. Comparing with ZN-tuning method and
frequency domain method, the settling time of the proposed techniques can
be improved by 61.8 % and 71.83 % and the overshoot obtained can be
improved by 87.6% and 68.9% respectively according to the experimental
results.

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