This project deals with the development of a computer vision system for handling an instance of the bin picking problem. The system performs pose estimation of randomly organised stator housings containing circular features with a known CAD model. The implemented system obtains 3-D information through a binocular stereo setup. The individual stereo images are processed by a Canny edge detector ...

An accurate average value model of synchronous machine-rectifier system considering the effect of stator resistance is derived in this paper. A proper voltage-behind-reactance synchronous machine model without any approximations is used for the generator that allows effective calculation of commutation displacement angle. All rectification modes of the rectifier are studied. A detailed switchin...

This paper deals with flux estimation for induction motor drives by using a full-order flux observer. A problem of full-order flux observers is their need for computationally demanding discretization methods in order to work stably and accurately at high speeds. An implementation of the full-order flux observer using the stator and rotor fluxes as state variables in the stator reference frame a...

The Direct Torque Control (DTC) is one of the most effective control and modern methods for high performance AC drives in a wide variety of industrial application and conventional DTC technique uses two constant reference values stator flux and torque ripple. In this paper, two approach intelligent techniques such as fuzzy logic (FL) and Artificial Neural Networks (ANN) used to improving the pe...

Effective condition monitoring of induction motors requires knowledge of the number of rotor slots and the rotor speed. These were primarily obtained in the literature by multiple measurements and using design knowledge of the motor under test. Furthermore, the earlier studies have mainly concentrated on stator current analysis. This paper investigates the use of the stator current, axial flux,...

This paper presents an adaptive speed observer for an induction motor using an artificial neural network with a direct field-oriented control drive. The speed and rotor flux are estimated with the only assumption that from stator voltages and currents are measurable. The estimation algorithm uses a state observer combined with an intelligent adaptive mechanism based on a recurrent neural networ...

In general, the conventional techniques like loop impedance and nodal admittance methods are used to find the parameters of SEIG for finding performance under various conditions. In these approaches, long mathematical calculations are involved. With the recent development, ANN and fuzzy logic are used for finding various parameters for different values of machine parameters. By finding these pa...

In permanent magnet motors, the stator resistance and magnetic flux of change as temperature increases. These changes result in a maximum torque point per unit ampere (MTPA) motor. Without adequate compensation, this leads to decrease output torque. For reason, look-up table (LUTs) are prepared over range used for interpolation. This paper proposes method compensate reduction due increase using...

This paper proposes a novel method to estimate the parameters of isotropic PMSMs which uses only steady-state measurements load conditions commonly available during regular operations off-the-shelf industrial drives. Differently from existing online and offline approaches, proposed is designed considering real-world scenarios where ad-hoc tests, additional sensors implementation custom software...