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Several techniques have been developed to estimate the load parameters in power systems. Most of the algorithms mainly focus on estimating the parameters for offline studies. With ongoing smart grid development, high-resolution data at fast rates are available to allow load modeling in real-time. This paper addresses the challenges in online estimation of the load parameters using Phasor Measurement...
Position sensorless vector control drives in the rotor-flux-oriented reference frame require precise estimation of rotor flux. A few open-loop rotor flux estimation methods are quite popular. However, the performance of these estimators is quite poor when the inverter switching frequency is quite low as in case of high power drives or when the ratio of switching frequency to maximum fundamental frequency...
This paper presents an active noise isolation (ANI) based control algorithm for single-phase single-stage solar photovoltaic (SPV) system connected to the AC grid. An ANI based algorithm used to control a voltage source inverter (VSI) which performs load compensation, harmonics mitigation, feeding solar power into the AC grid and many other power qualities issues. The proposed system comprises SPV...
In this paper, a Square root Cubature Kalman filter (SCKF) is applied for speed and position estimation in the control of Interior Permanent Magnet Synchronous Motor (IPMSM). Cubature Kalman filter avoids the linearization errors prevailing in the Extended Kalman filter algorithm, and is much easier to tune than the Unscented Kalman filter. The square root version of the Cubature Kalman filter gives...
In a power system, transmission line are exposed to the wrath of the nature, which makes it susceptible to the occurrence of faults. Such faults have to be cleared at the earliest to deliver utmost continuity of supply to the consumers. In this respect, the primary aim is to produce a methodology which supports numeric relays in precisely detecting, classifying and locating the fault in transmission...
Grid tied inverters and associated control techniques have gained importance in the domain of distributed generation. Different methods of control have been compared in literature depending upon the ability to meet THD limits, damping offered to resonant oscillations and stable operation. Multiple loop methods compared to their single-loop counterparts have proved to be highly effective for meeting...
This paper deals with vector control of grid-connected converter under unbalance grid conditions using single AC side current sensor. DDSRF based decoupling technique is used for decoupling of grid voltage and enhanced DDSRF is used for decoupling of grid current in the revolving d+−q+ and d−−q− frames. In the presented method, the stationary α-axis current is simply proportional to sensed r-phase...
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...
The accurate rotor position tracking and speed control of Hybrid Stepping Motor requires complete state information for investigation. In this paper, rotor position tracking is addressed from the framework of Lyapunov-based control and passivity based control method. In the former control scheme, nonlinear estimation technique employs a nonlinear observer along with Lyapunov-controller to estimate...
This paper aims to develop an innovative direct torque control (DTC) for an induction motor (IM) drive based on model prediction (MP). An effective methodology for the optimum selection of weighting factor is proposed, based on the evaluation of ripple behavior. A sensorless speed estimation technique utilizing the predictive nature of proposed MP DTC is adopted. Firstly, the paper introduces a detailed...
The contributions of this paper are towards the successful implementation of secondary flux based model reference adaptive system (SF-MRAS) for the speed estimation and primary field oriented control of brushless doubly-fed reluctance machine (BDFRM) in motoring and generating modes of operation. The speed estimation arrangement uses two pairs of independent secondary flux equations in reference and...
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