Results 71 to 80 of about 15,008 (242)
Penggunaan Extended Kalman Filter Sebagai Estimator Sikap pada Sistem Kendali Servo Visual Robot
Journal of Mechatronics, Electrical Power, and Vehicular Technology, 2012 Extended Kalman Filter (EKF) is the non-linear version of Kalman filter and the said filter is usually used in nonlinear state estimation. In this study EKF is applied to process the image features of a single camera mounted on the end effector of a ...
Noor Cholis Basjaruddin
doaj +1 more source
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani +1 more
wiley +1 more source
Havacılık ve Uzay Teknolojileri Dergisi, 2022 In this study an integrated adaptive TRIAD/Extended Kalman Filter (EKF) attitude estimation algorithm is presented, in which the TRIAD and an adaptive EKF are combined to estimate the attitude of a nanosatellite.
Hasan Kınataş, Cengiz Hacızade
doaj
Towards a Model Based Sensor Measurement Variance Input for Extended Kalman Filter State Estimation
Drones, 2019 In this paper, we present an alternate method for the generation and implementation of the sensor measurement variance used in an Extended Kalman Filter (EKF).
Harry A. G. Pointon +3 more
doaj +1 more source
Li-ion battery SOC estimation and test research based on EKF [PDF]
, 2015 锂离子电池以其无泄漏、无污染、无噪声等优点,近年来广泛应用于工业及生活领域。目前常用的基于扩展卡尔曼滤波(EKF)的锂电池SOC(荷电状态)估计方法由于建模不准确而导致估计结果误差较大,严重影响到电池管理系统的性能及整机系统的控制。针对该问题,采用精度较高的Randles模型,并在拟合电池的OCV(开路电压)-SOC曲线时通过引入自然指数函数并增加多项式阶数等方法提高拟合精度。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 ...
李博, 赵林, 袁学庆, 张阳
core
Control System for the Navigation of the Agricultural Robots: A Review
Journal of Field Robotics, EarlyView.ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
Application of EKF for an electro-hydraulic servo system using model-based approach [PDF]
, 2013 This paper works on extended Kalman filter (EKF) for model-based fault detection of an electro-hydraulic system to deal with stochastic behaviour during control. A mathematical model of an electro-hydraulic system is developed. Some faults are introduced
Wu, Liang Liang +4 more
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Journal of Field Robotics, EarlyView.ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini +3 more
wiley +1 more source
Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach
Journal of Field Robotics, EarlyView.ABSTRACT This paper discusses lap time optimization, focusing on a single lap without considering opponents in autonomous racing. The paper presents a control and optimization architecture composed of a model‐based low level controller and a higher level iterative learning algorithm with the goal of obtaining the fastest qualifying lap in autonomous ...
Mustafa Alp +3 more
wiley +1 more source
Sensorless speed control of DC motor using EKF estimator and TSK fuzzy logic controller
Automatika, 2022 In this article, sensorless speed control of DC motor has been proposed using the extended Kalman filter (EKF) estimator and Takagi–Sugeno-Kang (TSK) fuzzy logic controller (FLC).
Ravi Pratap Tripathi +3 more
doaj +1 more source