摘要
研究了基于改进免疫遗传算法优化的飞机操纵前轮转向模糊控制方法。针对三点式起落架布局飞机,建立了操纵前轮转向系统的非线性数学模型。采用免疫算法、小生境技术与遗传算法相结合,克服了简单遗传算法的缺陷。将该算法得到的控制器应用于前轮转向系统中,实现了模糊控制器参数的寻优,仿真结果令人满意。
The fuzzy control method of airplane nose wheel steering turning based on improved immune genetic algorithm was researched. Aiming at the airplane with three-wheel undercarriage, the nonlinear mathematical model of the nose wheel steering turning system was established. The proposed algorithm which combined the immune algorithm, genetic algorithm and the niche technology, overcame the imperfection of simple genetic algorithm. The new GA controller could optimize the fuzzy control parameters and the simulation results of the nose wheel steering turning system are satisfactory.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第17期4509-4513,共5页
Journal of System Simulation
基金
西北工业大学研究生创新种子基金资助(Z200745)
关键词
免疫算法
遗传算法
前轮转向
模糊控制
immune algorithm
genetic algorithm
nose wheel steering turning
fuzzy control