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Gallium Nitride (GaN) high electron mobility transistor (HEMT) is one of the promising candidates to replace existing switches in high-frequency high power converter applications. Reliability of GaN HEMT is an important issue for its commercial deployment. Online prognosis of this transistor ensures robust reliability for mission critical applications. Online prognosis requires identification of fault...
This paper deals with the investigation of the Extended Kalman Filter (EKF) for sensorless indirect vector control of an induction motor. The prime focus is low speed operation, when the EKF somewhat presents erroneous results. The effectiveness of the EKF as a speed estimator under machine parameter variations - change in stator resistance, rotor resistance is assessed. Furthermore, the effect of...
Switched Reluctance Motors (SRMs) have absorbed a great deal of attention in various industrial applications such as Electric Vehicles (EVs) due to their robust and fault tolerant structure. However, thermal protection of the SRM windings in case of overload conditions or abnormal cooling situations is essential to prevent the reduction of the winding insulation lifetime. This paper presents a model-based...
This paper presents a hybrid state-of-charge (SOC) and state-of-health (SOH) estimation technique for lithium-ion batteries according to surface temperature variation (STV). The hybrid approach uses an adaptive observer to estimate the SOH while an extended Kalman filter (EKF) is used to predict the SOC. Unlike other estimation methods, the closed-loop estimation strategy takes into account the STV...
This paper present the Field Programmable Gate Array (FPGA) realization of speed-sensorless Direct Vector Control (DVC) utilizing Extended Kalman Filter (EKF) with stator resistance estimation for Induction Motors (IMs). The EKF simultaneously estimates stator stationary axis components of stator currents and rotor fluxes, rotor angular velocity, load torque and stator resistance. The implemented...
This paper develops a novel sensor less vector control of induction motor (IM) drive robust against rotor resistance variation. The rotor resistance and speed are identified using extended Kalman filter (EKF). Then, we introduce a new fuzzy logic (FL) speed controller based on self learning by minimizing cost function. This approach is based on a topology control self-organized and an algorithm for...
Permanent magnet synchronous motors (PMSM) are widely used in electric vehicle application due to their high power density, high efficiency and very good performance at low speeds. Safety concerns in automotive industry require monitoring of the system to ensure a correct and safe operation of the electric vehicle. This paper presents three software methods for estimating the winding electrical resistance...
An adaptive algorithm for battery state of charge (SOC) estimation is presented in this paper to solve the critical issue of calculating the remaining energy of battery in hybrid electric vehicle (HEV). To obtain a more accurate SOC estimation value, both coulomb-accumulation and open-circuit voltage contributions are considered in this study. The extended Kalman filter (EKF) theory which has good...
This paper proposes a nonlinear velocity observer for output regulation of ball and plate system. Ball velocities are estimated by state observer instead of first order difference method. Dynamics of motion resistances are included and estimated in augmented state space. Simulation and experimental results on ball and plate platform have shown that nonlinear state observer provided reliable estimation...
Dual EKF which is suitable for simultaneously on-line estimating states and parameters of nonlinear systems is applied to the rotor resistance and rotor flux on-line simultaneous estimation problem of vector control system of induction machines. Based on dual EKF, a self-tuning vector control system with higher performances is established. Simulation results show that the proposed scheme is effective...
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