摘要
针对无人飞行器的控制要求,提出了一种增量式变论域模糊智能控制算法。该算法具有调节裕度大、鲁棒性强的特点,适用于非线性控制系统,解决了无人飞行器巡航马赫数缓慢升高不能稳定跟踪目标值的问题。通过模拟飞行轨迹的半实物仿真试验,验证了模糊智能控制算法的控制效果,试验结果表明,通过采用模糊控制方法大大提高飞行马赫数控制的动态性能,满足无人飞行器控制系统设计要求,取得了较好的控制效果。
In order to meet the requirement to control for UVA, a variable universe fuzzy control algorithm with increment is proposed. The algorithm was used to possess the property of a large adjustable tolerance and a strong robustness, applicable to the non-linear system,thereby to solve the problem in which the cruising Mach number was deflected. The flight simulation is carried out for testing its working state. As a result, by using the fuzzy control method, the dynamic property of the cruising Mach number is improved significantly and the control system design requirement for UVA is met. It shows that more stable control effect is achieved.
出处
《推进技术》
EI
CAS
CSCD
北大核心
2013年第12期1696-1701,共6页
Journal of Propulsion Technology
关键词
无人飞行器
变论域
模糊控制
仿真
飞行试验
Unmanned aerial vehicle
Variable universe
Fuzzy control
Simulation
Flight test