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跑道辨识算法在飞机防滑刹车中的应用研究

Runway Identification Algorithm in the Aircraft Antiskid Braking Application Study

【作者】 陈伟光

【导师】 廖力清;

【作者基本信息】 中南大学 , 控制科学与工程, 2011, 硕士

【摘要】 机轮刹车系统是飞机的一个重要机载设备,对飞机的起飞和着陆起着重要的安全保障作用。飞机防滑刹车控制系统具有强实时性、强非线性和强不可测性,工作环境极其恶劣,极易受到跑道状况、机场侧风、不对称着陆等因素的影响,因此大吨位、高速度大飞机的防滑刹车控制系统要求具备一定的跑道自适应能力。目前,国内对防滑刹车控制算法虽然进行了较多较为深入的研究,但大多数都是以最佳滑移率为控制目标,并未对跑道状态辨识进行深入研究。因此,若要从根本上提高飞机的刹车效率,必须使防滑控制算法具备跑道辨识能力。本文从分析飞机防滑刹车控制系统的原理出发,建立了以国产大型客机为对象的机轮刹车系统数学模型,并利用动态惯性试验验证了该模型的准确性。由于轮胎与跑道间相互作用机理较为复杂,对轮胎/跑道摩擦模型进行深入分析,在应用动态分布式LuGre摩擦模型的基础上建立了一个新型的非线性状态观测器,通过此观测器实时辨识跑道状态,以得到刹车过程中最佳滑移率。并将其应用于防滑控制算法中,使防滑控制算法具备跑道辨识能力,提高刹车效率。最后,利用MATLAB软件中的Simulink仿真工具,对带跑道辨识功能的飞机防滑刹车控制算法进行仿真,考察了湿跑道、薄冰跑道及跑道状态突变情况下的飞机刹车性能,并将仿真结果与传统算法相比较,结果表明具有跑道辨识能力的防滑控制算法能够较好地改善飞机刹车性能。

【Abstract】 Wheel braking system is one of the key airborne equipments which plays an important role in taking off and landing safely. In addition, aircraft antiskid braking system has a strong real-time, nonlinear and strong unpredictable nature.While affected by dreadful conditions and many critical factors such as runway conditions, airport cross-winds and asymmetric landing. The antiskid braking system must have the capability of runway adaptive in the large aircraft with large tonnage and high speed. Deep researches to the algorithm of antiskid braking system have been carried on by domestic researchers, but most of them lay emphasis more on the best slip rate than runway state identification. Therefore, runway state identification must be involved in the algorithm of antiskid braking system to improve braking efficiency essentially.Based on the theory of the antiskid braking system in the paper, established in domestic large passenger aircraft braking system model, and the dynamic inertia test experiment has been used to verify the accuracy of the model. As the interaction between tyres and runway is so complex, the friction model for tyres and runway should be analyzed deeply. To achieve the best slip rate, a new type of nonlinear state observer which is based on the dynamic distributed LuGre friction model was designed. What’s more, braking efficiency could be improved by applying the state observer to the antiskid control algorithm.In the end, with the use of the SIMULINK toolbox in MATLAB software, the antiskid braking control algorithm is simulated on the model to study the antiskid braking performance in different conditions such as wet, icy runway and runway condition mutated. Comparing with the simulation results above to the proposed algorithm, it indicates that the antiskid control algorithm with capability of runaway state identification does well in improving the braking performance.

  • 【网络出版投稿人】 中南大学
  • 【网络出版年期】2012年 01期
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