基于模糊控制的某型飞机极限状态限制器的设计

Design of Limiter in Extreme State for Certain Aircraft Based on Fuzzy Control

提出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。全飞行包线的数字仿真结果表明 。

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 functions and on-line self-tuning of domain in fuzzy control system, which can largely improve qualities and adaptabilities of the system. A least square algorithm of proportional gain α can optimize fuzzy logic rules. Self-tuning of domain on line can eliminate information loss caused by fuzziation. Integral control strategies can enhance stabilization accuracy, improve systematic adaptability and limit deviation. Digital simulation of full flight envelope proved the new fuzzy control method is significantly effective.