摘要
针对现有发电机励磁控制器参数优化中存在的寻优时间长、易陷入局部最优的问题,提出了一种引入杂交及变异算子的蚁群算法。该算法利用蚁群算法良好的全局寻优能力,避免搜索陷入局部最优,同时借鉴遗传算法的思想,利用杂交及变异算子来进行局部寻优,使其能快速搜索到全局最优点。MATLAB仿真结果表明,该算法可行且有效。
Aimed at the deficiency in optimization on Excitation Control of Synchronous Generator about long time in optimizing and falling in local best problem easily,a new method based on ant colony algorithm with crossover and mutation operators is presented in this paper. The ability of searching for better global optimization is used to avoid the local best. Meanwhile,the idea of ge- netic algorithm in using crossover and mutation operators to search for local best is also used to improve the speed of searching for global optimization point. Finally,the simulation results show that the proposed algorithm is effective.
出处
《西安理工大学学报》
CAS
2006年第2期146-149,共4页
Journal of Xi'an University of Technology
关键词
励磁控制
蚁群算法
PID控制
杂交及变异算子
全局最优点
excitation control
ant colony algorithm
PID control
crossover and mutation operators
global optimization point
