摘要
本文提出了一种基于模糊控制的某型飞机极限状态限制器的设计方法。该方法将模糊控制函数的优化和模糊控制系统增益自适应调整集中于一体,可大大改善系统的品质和适应能力。在系统设计中,比例因子的最小二乘法估计用于优化控制规则,论域的在线自调整可以消除模糊化过程中所导致的信息丢失,积分抑制策略则是为了提高稳态精度、增强适应性和进一步抑制超调。在全飞行包线的数字仿真结果表明,本文提出的模糊控制方法获得了良好的控制效果。
A new kind of design method of limiter in extreme states for certain aircraft based on fuzzy logic control is presented in this paper, The method integrates optimization of fuzzy control function and on-line self-tuning of domain in fussy control system, which can largely improve qualities and adaptabilities of control system, a least squares algorithm of proportional gain otcan optimize fuzzy logic rules. Self-tuning of domain on line can eliminates information loss caused by fuzziation, Integral control strategies can enhance stabilization accuracy, improve system adaptability and limit deviation, Digital simulation within the full flight envelope demonstrated this new fuzzy control method brought about good control results,
出处
《微计算机信息》
北大核心
2006年第09Z期272-275,共4页
Control & Automation
关键词
模糊控制
极限状态限制器
极限允许值
最小二乘法
fuzzy logic controller,limiter in extreme state,tolerant limit value,a least squares algorithm