摘要
针对模糊控制适应性差和控制精度低的问题,提出了一种改进的变论域模糊自适应控制器。提出了参考缆位角的计算方法并设计了相应的直升机缆位控制器。研究用于连续域寻优的改进蚁群优化算法,用于动态调整模糊控制器论域的伸缩因子,从而构成基于蚁群算法的变论域模糊自适应控制器。将该控制器应用于直升机缆位控制系统,控制直升机地速保持在零附近,同时实现缆位角的精确控制。
To solve the problems of the poor adaptation and low accuracy of the fuzzy control algorithm,an improved adaptive fuzzy controller with variable universe is proposed.The reference cable angle is calculated,and the cable-orientation controller of helicopter-cable composite system is designed.The improved ant colonly algorithm(ACA)for continuous domain is studied and used to optimize the contraction and expansion factors of the universes.The adaptive fuzzy controller with variable universe based on ACA is adopted for the helicopter cable-orientation control system to keep the ground velocity of helicopter at zero and realize the accurate control of cable angle.
出处
《测控技术》
CSCD
2015年第4期85-88,共4页
Measurement & Control Technology
关键词
缆位
蚁群算法
变论域模糊控制
自适应
cable-orientation
ant colonly algorithm
fuzzy control with variable universe
self-adaptive