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基于改进LSSVM算法的柔性飞机起落架智能半主动控制技术

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提出了基于改进LSSVM算法的柔性飞机起落架智能半主动控制技术.充分考虑柔性飞机结构振动模态,构建飞机起落架智能半主动控制力学模型.根据半主动控制起落架结构,采用剪枝算法构造最小二乘支持向量机优化函数,使控制过程具有稀疏性.计算双气室缓冲器的气体弹力、油孔液压阻尼力和轮胎压力,分析飞机落下、滑跑在动力学模型中的非线性动力学特征.构造起落架二次型性能指标函数,用线性二次型调节器设计起落架最优控制结构,导出最优控制律.由实验结果可知:该技术在缓冲距离为0.25 m时功量达到最大为0.9×105 N,与实际着陆功量控制效果一致;最大位移为0.47 m,仅与实际存在最大为0.01 m的误差,使飞机在平衡位置减少振动响应,保持飞机起落稳定.
Intelligent Semi-active Control Technology for Flexible Aircraft Landing Gear Based on Improved LSSVM Algorithm
An intelligent semi-active control technology for flexible aircraft landing gear based on im-proved LSSVM algorithm is proposed.The vibration modes of flexible aircraft structures is fully consid-ered and an intelligent semi-active control mechanical model for aircraft landing gear is constructed.Based on the semi-active control of the landing gear structure,a pruning algorithm is used to construct the least squares support vector machine optimization function,making the control process sparse.The gas e-lasticity,oil hole hydraulic damping force,and tire pressure of the dual chamber buffer are calculated,and the nonlinear dynamic characteristics of aircraft landing and taxiing in the dynamic model are analyzed.A quadratic performance index function for the landing gear is constructed,a linear quadratic regulator to de-sign the optimal control structure for the landing gear is used to derive the optimal control law.According to the experimental results,the maximum power output of this technology is 0.9×105 N when the buffer distance is 0.25 m,which is consistent with the actual landing power control effect.The maximum dis-placement is 0.47 m,with only a maximum error of 0.01 m compared to the actual situation,which reduces the vibration response of the aircraft in the balanced position and maintains stable take off and landing.

improving LSSVM algorithmflexibilityaircraft landing gearintelligent semi-active control

马文倩

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西安航空职业技术学院汽车工程学院,陕西西安 710089

改进LSSVM算法 柔性 飞机起落架 智能半主动控制

航空地面设备健康管理技术创新团队研究项目

KJTD23-01

2024

机械与电子
中国机械工业联合会科技工作部 机械与电子杂志社

机械与电子

CSTPCD
影响因子:0.243
ISSN:1001-2257
年,卷(期):2024.42(6)
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