| 基于改进的DE算法对PID参数的优化 |
| |
| 引用本文： | 蔺小林,邓雄峰. 基于改进的DE算法对PID参数的优化[J]. 陕西科技大学学报, 2014, 0(1): 161-164 |
| |
| 作者姓名： | 蔺小林 邓雄峰 |
| |
| 作者单位： | [1]陕西科技大学电气与信息工程学院,陕西西安710021 [2]陕西科技大学陕西省造纸技术及特种纸品开发重点实验室,陕西西安710021 |
| |
| 基金项目： | 陕西省科技厅重点实验室科研项目（2011HBSZS014） |
| |
| 摘 要： | 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.
|
| 关 键 词： | 差分进化算法 参数优化 PID 放缩因子 |
Based on improved differential evolution algorithm for PID parameters optimization |
| |
| LIN Xiao-lin,DENG Xiong-feng. Based on improved differential evolution algorithm for PID parameters optimization[J]. Journal of Shaanxi University of Science & Technology(Natural Science Edition), 2014, 0(1): 161-164 |
| |
| Authors: | LIN Xiao-lin DENG Xiong-feng |
| |
| Affiliation: | 1. College of Electrical and Information Engineering, Shaanxi University of Science Technology, Xian 710021, China 2. Shaanxi Province Key Laboratory of Papermaking Technology and Specialty Paper, Shaanxi University of Science Technology, Xian 710021, China) |
| |
| Abstract: | 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 . |
| |
| Keywords: | differential evolution algorithm parameters optimization PID scale factor |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
