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出 处:《计算机测量与控制》2007年第5期616-618,共3页Computer Measurement &Control
摘 要:近年来,无人机凭借其各种优势,受到了各国越来越多的关注;飞行控制系统是现代无人机的核心,其控制律设计结果对无人机飞行特性的影响至关重要,决定无人机是否能够满足自主飞行要求;为了获得更好的控制效果,保证无人机能更好地适应复杂环境和任务,在常规模糊控制方法的基础上引入修正因子和积分抑制策略,设计出了一种模糊飞行控制器;仿真结果表明,该控制器具有较好的控制效果和较强的鲁棒性,较一般的模糊控制系统具有控制速度快、精度高、鲁棒性强等特点,更能适应无人机的特殊要求。Recent years, because of many advantages, more and more countries pay attention to the unmanned aerial vehicle (UAV). The flight Control system is the Core of UAV. The control law is the most important part to the flight quality and it determines whether the UAV can fulfill the target of autonomic flight. For the aim of good Control result and ensuring the UAV adapt to the complex circumstance and accomplish mission, a new type of the fuzzy flight Controller is given. Based on normal fuzzy control method, modifying gene and integral Controller are added. Through Contrasting simulative results, we can find that the Controller has characteristics of stronger robustness and adaptive capacity.
分 类 号:V249[航空宇航科学与技术—飞行器设计]
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