CAJ | 학술논문

通过改进标准差分进化算法的放缩因子，得到一种改进的差分进化算法。这种改进的差分进化算法具有自适应的特点，能自调整放缩因子的大小，而标准差分进化算法的放缩因子通常取某个常数。将这种改进的差分进化算法用于 PID参数的优化，克服了一些传统方法过于直接、不能寻优的缺点。仿真结果显示，改进的差分进化算法，具有较快的响应速率和较好的鲁棒性。
통과개진표준차분진화산법적방축인자，득도일충개진적차분진화산법。저충개진적차분진화산법구유자괄응적특점，능자조정방축인자적대소，이표준차분진화산법적방축인자통상취모개상수。장저충개진적차분진화산법용우 PID삼수적우화，극복료일사전통방법과우직접、불능심우적결점。방진결과현시，개진적차분진화산법，구유교쾌적향응속솔화교호적로봉성。
By improving the standard differential evolution algorithm (Differential Evolution , DE) of the scaling factor ,obtained an improved differential evolution algorithm .This im-proved algorithm with self-adaptive characteristics can self-adjust the zoom factor from the size .And the standard differential evolution algorithm scaling factor is usually taken to a constant ,it cannot do that .This new algorithm is used for PID parameters optimization ,o-vercome some of the traditional method is too direct to optimization shortcomings .The im-proved differential evolution algorithm and the standard algorithm by comparing the simula-tion ,and the results show that the improved differential evolution algorithm has a faster re-sponse speed and better robustness .