Aiming at the problems of manual setting of control rules and low control accuracy of the fuzzy PID control method, an attitude control method of the unmanned aerial vehicle (UAV) based on the extended Kalman filter (EKF) and adaptive fuzzy PID (AF PID) is proposed. The dynamics ...
permanent magnet synchronous motor( PMSM),the model is not accurate,the estimation precision is not high and the real-time performance is poor when the noise is uncertain,and it may lead to filtering divergence,a Sage-Husa adaptive fading extended Kalman filtering( AFEKF) algorithm is adopted. ...
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Integrated control for AFS and EPS with EKF estimation of lateral force Key words:active front steering (AFS); electric power steering (EPS); integrated control; EKF observer; nonlinear type lateral force 根据汽车转向系统的力矩传递特性,电动助力转向(Electric Power Steering,EPS) 系统中驾驶员施加于...
获得锂离子电池的开路电压Uocv和锂离子电池的电池能量状态SOE的关系;确定DP电路模型的特性参数;基于库伦计数法和OCV查表法建立电池系统状态空间表达式,代入改进AEKF算法得到系统矩阵、过程噪声协方差Q和量测噪声协方差R;基于系统矩阵、过程噪声协方差Q和量测噪声协方差R的更新,运用基于改进AEKF的锂离子电池SOC估算方法...
扩展卡尔曼滤波器(EKF)是将卡尔曼滤波器(KF)局部线性化,其算法简单、计算量小,适用于弱非线性、高斯环境下。不敏卡尔曼滤波器(UKF)是用一系列确定样本来逼近状态的后验概率密度,在高斯环境中,对任何非线性系统都有较好的跟踪性能。粒子滤波器(PF)是用随机样本来近似状态后验概率密度函数,适用于任何非线性非高斯...
使用EKF对锂电池SOC进行估计,与理论结果相比模型改进后估计误差的标准差比改进前下降了64.43%。试验结果表明通过改进电池模型大大提高了基于EKF方法的锂电池SOC估计精度,对于提高电池管理系统以及整机系统性能具有重要意义。 展开 关键词: SOC估计;扩展卡尔曼滤波;锂电池 ...
This paper describes advances in models and methods used to estimate hybrid-electric-vehicle (HEV) battery-pack state-of-charge (SOC) using extended Kalman filtering (EKF). The electrochemical cells in the battery pack are Lithium Ion Polymer based, have a nominal capacity of about 7.5 Ah, and...
IMM-UKF algorithm and IMM-EKF algorithm for tracking highly maneuverable target: a comparison 来自 mendeley.com 喜欢 0 阅读量: 76 作者:MS Djouadi,S Abdennour,D Berkani 摘要: This paper aims to contribute in solving the problem of model-based body motion estimation by using data coming from ...
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