VELOCITY ESTIMATION FROM CYCLE PEDALING BY USING EXTENDED KALMAN FILTER ALGORITHM Abstract: Velocity determination is critical data for advanced safety and control systems for all forms of transportation. The proposed Extended Kalman Filter (EKF) predicts the cycling velocity from cyclic pedaling with high accuracy. The IMU sensor is used in the cycle's wheel to calculate the cycle's angular velocity and acceleration in which measurement data are given by the sensors in the modernized cycle. The method is resistant to a variety of road and resistance factors. Initially, a dynamic analysis involved in determining the velocity from cyclic pedaling is developed using a longitudinal dynamic equation. The calculation of the cycle velocity utilizing EKF is performed with the aid of a basic observer. Eventually, the suggested approach is put to the test in several movements and road situations. During an online evaluation, the proposed method studies a cyclic motion by using a canonical dynamical proposed framework and can estimate velocity for such related pressure applied on the pedal. As a result of the Extended Kalman Filter (EKF) algorithmic technique efficiently obtain the velocity successfully depending on the force exerted on the pedal. The Extended Kalman Filter (EKF) diverges from the traditional Kalman Filter and hence, it uses linearization iterative method with linear methods to obtain a nonlinear paradigm. This invention is intended for the development of the method for the computation of the real-time estimation of the velocity from the cycle pedaling. This estimation is made using the EKF (Extended Kalman Filter). This algorithm is a controlling algorithm used in the estimation of the longitudinal and lateral velocity of the vehicle. VELOCITY ESTIMATION FROM CYCLE PEDALING BY USING EXTENDED KALMAN FILTER ALGORITHM Diagram USER WEGHT Is DATA ACQUIRED FROM ESTIMATED THE IMU SE NSOR EXTENDED KALMAN FILTER (EKF) VELOCITY THE HEIGHT OF Figure 1: Velocity estimation using EKF.


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    Titel :

    VELOCITY ESTIMATION FROM CYCLE PEDALING BY USING EXTENDED KALMAN FILTER ALGORITHM


    Beteiligte:
    PATEL R P (Autor:in) / CHAKRABARTI TULIKA (Autor:in) / HATI ANANDA SHANKAR (Autor:in) / MAHALINGAM M (Autor:in) / SARAVANAN K G (Autor:in) / PATEL IBRAHIM (Autor:in) / KRISHNA PATTETI (Autor:in) / KUMAR YOGENDRA (Autor:in) / GOWRISHANKAR K (Autor:in) / KUMARA VARUNA (Autor:in)

    Erscheinungsdatum :

    2021-07-22


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / B62J Fahrrad- oder Motorradsättel oder -sitze , CYCLE SADDLES OR SEATS / G01D MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE , Anzeigen oder Aufzeichnen in Verbindung mit Messen allgemein / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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